Turning Research Papers - Academia.edu (original) (raw)

In this paper high speed turning and milling models are considered and chip formation and cutting forces are investigated. For the simulation the Finite Element Modeling software Third Wave Systems AdvantEdge is employed and the cutting forces results as well as the morphology of the chip are compared with the results of experiments conducted with CNC machine tools. For the experimental work the principles for design of experiment were used in order to minimize the required amount of experiments and obtain useful results at the same time. All parameters and cutting conditions were chosen to be close to the common industrial ones, with the material of the workpiece being C45 steel and the tools being coated carbides. Although published work on FEM simulations on high speed machining exist, this paper provides validated 3D models that cover the cases of precision high speed turning and high speed milling. The validation of the numerical data with the experimental ones show a good agre...

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- Finite Element Analysis (Engineering), High Speed Machining, Turning, Milling

The accuracy of achieving required surface finish or surface roughness is of great importance in case of any mass production environment. Thus, understanding and recognizing the optimal process parameters for machining is the key to achieving the required surface roughness and gaining competitive advantage. This research is concerned with obtaining the optimal machining process parameters (cutting
speed, depth of cut, feed) which will in turn effect in optimizing the surface roughness in turning glass fiber reinforced polymer (GFRP) matrix composite using coated carbide insert. To find the optimal machining process parameters Taguchi design method has been implemented. An L-16 orthogonal array, signal to noise ratio and ANOVA have been implemented to analyze and understand various process parameters in determining possible relationship with surface roughness. The optimum surface roughness value for this experiment is (3.664µm) which is obtained from Taguchi design method. The results from ANOVA conclude that feed is the most influential factor affecting the outcome having a contribution of (56.04%). And the contributions of depth of cut and cutting speed are separately in order of (17.94%) and (16.42%) respectively. This research provides optimal process parameters for any desired value of surface roughness which results in gaining a competitive edge over others in any mass production environment.

- by Md. Shafiul Alam and +1
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- Manufacturing, Composite Materials, ANOVA, Cutting Parameters and Surface Roughness

The effects of cutting conditions on the cutting force in the longitudinal turning of C60E steel were experimentally investigated. During experiments, three components of cutting force were measured, the main cutting force, the feed force... more

- by Predrag Dasic
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- Response Surface Methodology, Machining, Turning

This work concerns the study of the multicriteria and multiobjective aspects related to the industrial management. This is why it was an obligation, at the first stage of the study, to define the sub-domains by which we are interested, the “maintenance management”, the “production management” and the “quality control”. For that, it was necessary to specify the level of analysis that will guide the corresponding developments. Hence, related to the organizational aspect, we have adopted the Holonic paradigm in order to model and describe formally some specific analysis procedures that are utilized in the studied domains. Briefly theses procedures correspond to the FMEAC analysis, the SPC (quality control) and the machines parameters optimization, using the Design Of Experiments (by Taguchi method). The results of the developments correspond to the establishment of the UML 2.0 Class and Sequence diagrams of the described procedures. After that, we have formulated the relation between the degradation of the equipment of production and the production rate of this latter. Indeed, the method proposed is based on the unification of the decision variables of these two important characteristics of the production equipments (machine degradation and production rate).
Finally, related to the operational aspect, the multiobjective analysis was performed by its application on a large known production problem. So, we have adopted the analytical way to resolve the multiobjective optimization problem of the sigle-pass turning operation, in order to determine the feasible and optimal solutions of the problem according to the rigorous mathematical optimization tools. In consequence, the resolution approach permits to detect several feasible solutions, but finally, converge to a unique and global optima that is competitive according to the metaheuristics which are largely used in the bibliography.

- by Jorge Olortegui-Yume
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- Computational Modelling, Machining, Wear, Diffusion

Shear thickening fluid (STF) is a kind of smart material showing increasing viscosity under loading. This unique behavior is benefitted in various applications however, STF usage in machining tools has not been investigated in literature. In this study, a novel tool was designed by integrating STF into conventional cutting tools for turning operations. Thanks to this design, the non-Newtonian rheology of STF contributes to the vibration damping properties of cutting tools and thereby suppressing the chatter vibrations during machining operations. For this reason, STF integrated cutting tools provide enhanced stability in the operations, which leads to an improvement in the surface quality of workpieces.

- by Alper Sofuoğlu
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- Advanced Manufacturing, Turning, Shear Thickening Fluids

In machining technologies, the most important criterion taken into consideration when evaluating the product quality is seen as the surface roughness. In the consideration of production quality and cost, tool wear is one of the factors that directly affect the cost of production. In the machining process, the most important parameters affecting the surface roughness and tool temperature are the cutting depth, speed and feed rate of rotation. In order to obtain the best surface quality and to keep the cost at the optimum level, the most suitable processing parameters should be selected by taking into consideration the effect of these parameters on each other. In this study, it is aimed that to prediction of surface roughness (Ra.) and tool temperature (°C) values for turning which has an important position in machining. For this purpose, Artificial Neural Networks (ANN) method and Multi Linear Regression Model (MLRM) were used separately. The data obtained from ANN, Regression Model were compared with the actual test data, and the results were examined. According to the obtained results, it is seen that the ANN method has more successful results than Regression model in surface roughness and tool temperature estimation.

The present research paper is focused on the analysis of optimum cutting conditions to get lowest cutting forces in turning of mild steel material. The experimental result analysis showed that the optimum combination of various input factors as type of insert type, work piece material, Approach Angle, feed and depth of cut. Further, the confirmation tests are conducted and the results are found to be increased with increment of feed and depth of cut.

- by IJSRD Journal
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- Optimization, Turning, Mild Steel, Cutting Forces

In machining technologies, one of the most important criteria that is taken into consideration when evaluating the product quality is seen as surface roughness. In order to achieve the desired level of surface roughness of the machined part, the tool vibration should be decreased to minimum levels. In the machining process, the most important parameters affecting the surface roughness and vibration are cutting parameters such as depth of cut, feed rate, rotational speed, tool wear and overhang. To obtain better surface roughness must be optimized this important parameters. There are many artificial intelligence optimization tools to parameter optimization. In this study, it is aimed that to investigate relation between surface roughness and tool vibration at first. Besides that the effects of cutting parameters such as depth of cut, feed rate, spindle speed on surface roughness and optimization of all parameters for best product quality. The optimum parameter combination developed by using Taguchi Method was confirmed with the help of confirmation tests. As a result, with the help of optimization, the surface roughness and the tool vibration was reduced.

- by Daniel Flórez-Orrego
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- Mechanical Engineering, Materials Science, Metallurgy, Wear

The ‘Metaphysics of Dasein’ is the name which Heidegger gave to a new philosophical project developed immediately after the partial publication of his masterwork Being and Time (1927). As Heidegger was later to recall, an ‘overturning’ took place at that moment, more precisely right in the middle of the 1929 treatise On the Essence of Ground. Between the fundamentalontological formulation of the question of being and its metaphysical rephrasing, Heidegger discovered that a ‘metaphysical freedom’ stood at the root of Dasein’s relation to his world and, thus, at the basis of his whole ontological questioning. This article will show how the very structure of the 1929 essay clearly illustrates the path Heidegger followed between Being and Time and the new philosophical beginning of the mid 1930s. It will conclude with a few critical remarks concerning Heidegger’s attempt to free his thinking from traditional philosophy and to overcome metaphysics.

- by François Jaran
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- Metaphysics, Transcendence, Heidegger's Being and Time, Freedom

The impact of cutting speeds and feed rates on the components of the forces exerted on a 16MnCr5 steel workpiece is experimentally measured, when turning with PCBN tool. The cutting speed range of the tests varies between 90 to 240 m/min while the feed rate is between 0.05 and 0.25 mm/rev for each cutting speed, allowing for the determination of the influence of cutting conditions on forces. Additionally, finite elements models for the simulation of the aforementioned experiments are provided. The proposed models exhibit good correlation of their results on cutting forces and chip formation with the measurements and observations of the experiments. Furthermore, the models can provide a wide range of additional parameters, i.e. plastic strain rates and temperatures within the workpiece. Results of the presented analysis can be used for an efficient process planning for the turning of steels under cutting conditions used in the industry.

- by Angelos P Markopoulos
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- Finite Element Analysis (Engineering), Machining, Turning
- by Gopikrishnan A
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- Signal Processing, Sensors, Micromachining, Turning

This paper point of the optimizing the cutting parameters for the surface roughness obtained in turning operation using taguchi technique. The array, the signal-to-noise ratio, and analysis of variance are employed to study the performance characteristics of EN 362 steel bars using tungsten carbide cutting tools Mainly cutting parameters namely, insert radius, feed rate, and depth of cut, are optimized with considerations of surface roughness. Experimental results obtained are established to illustrate the effectiveness of this approach.

- by Editor IJRET
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- Mechanical Engineering, Vibration, Tool wear, Turning

Machining hardened materials whose hardness is in the range of 45HRC to 65HRC is a difficult task and cubic boron nitride (CBN) or Polly-crystalline diamond (PCD) tools are normally used for such purpose. Earlier researchers showed that hard coated carbide and CBN tools showed a remarkable improvement in cutting performance of the tools. In recent past alumina and titanium carbo-nitride based ceramic inserts (Al 2 O 3-TiCN) are being successfully used for machining hard materials that are much cheaper than CBN and PCD tools. Deposition of hard coatings on this mixed ceramic insert may further enhance the performance of the tool. In this context, present work is focused on studying the effect AlCrN, AlTiN and TiAlN coating on Al 2 O 3-TiCN inserts while turning AISI 52100 hardened steel at 62 HRC hardness. A finite element model was developed with the help of DEFORM 3D software for turning hardened AISI 52100 steel using both uncoated and coated Al 2 O 3-TiCN inserts. The cutting tool is taken as rigid whereas the workpiece is considered as plastic. Johnson-Cook model was used for characterizing the flow stress of the workpiece material. Based on the earlier research a coating thickness of 3 µm was assumed for the selected hard coatings. The cutting speed, feed and depth of cut were kept constant at 110 m/min, 0.05 mm/rev and 0.5 mm respectively. The tool holder was specified as per the specifications of PSBNR2020K12. The effect of various coatings on the machining forces, interface temperature, and maximum tool temperature was studied. A considerable reduction in machining forces, interface temperature and maximum tool temperature is observed in the finite element analysis carried out for different coated inserts with AlCrN coating showing the maximum reduction. The reduction of these output responses in coated inserts would eventually result in a decrease of thermal and mechanical wear of the cutting tool that would result in enhancement of the life of the tool. This result is expected to be useful for researchers as well as tool engineers related to hard machining. INTRODUCTION Hard turning is a finishing or semi-finishing operation aimed at obtaining very low values of surface roughness while machining hard materials whose hardness varies in the range of 45-70 HRC [1]. In recent past hard turning has proved to be a major alternative to grinding process increasing material removal rate and thus, resulting in reduction of production cost and time. [2] Many researchers investigated performance of PCBN, CBN and ceramic tools while machining hard materials owing to their higher wear resistance and hot hardness [2,3]. Recently alumina based composite ceramic tools have been successfully employed in hard machining due to their economical nature [4,5]. Deposition of hard coatings on the cutting tools proved very helpful in improving the machining performance of the cutting tools [6,7]. Aslantas et al. [3] investigated tool life, tool wear and surface finish obtained while machining AISI 52100 hardened steel with Al 2 O 3-TiCN mixed ceramic insert. The results revealed that coated insert produced better surface finish and tool life as compared to uncoated insert. Aslan et al. [8] determined optimum cutting parameters for minimum flank wear and surface roughness while machining hardened AISI 4140 steel using Al 2 O 3-TiCN mixed ceramic insert. Das et al. [9] performed turning experiments on hardened AISI 4140 steel using coated and uncoated Al 2 O 3-TiCN mixed ceramic insert. The experiments and optimization results revealed that flank wear increases with increase in cutting speed and depth of cut while feed rate had minimum effect. It was also found that coated tool gave better results in regard of surface finish and also serrated chips were formed at higher feed rate resulting in poor surface finish.

- by Himadri Majumder
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- Finite Element Methods, Turning
- by Editor IJRET
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- Mechanical Engineering, Turning, PC, RA
- by Yigal Sitry
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- Ancient and traditional carpentry, Woodworking Hand Tools, Turning, Woodworking
- by iaeme iaeme
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- Mechanical Engineering, Surface Roughness, Turning, Taguchi method
- by Gopikrishnan A
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- Signal Processing, Sensor, Turning, Tool Condition Monitoring

Sustainable Manufacturing (SM) requires strategic attention in today’s competitive environment owing to dependence of many organizations on natural resources along with generation of wastes and environmental pollution. The adoption of SM in itself poses huge challenge for the practitioners since the extant literature does not provide a standard framework for the implementation of the same. It has thus become the need of the time for the manufacturers to pursue production activities, which internalizes negative environmental externalities while maximizing business goals and socio-economic benefits. Typically, manufacturing processes can broadly be classified into five categories such as such as casting, forming, powder metallurgy, joining and machining.
The study focuses on machining group wherein; the interdependencies of different sustainable machining parameters are examined in the context of milling and turning machining processes. In order to ensure competitiveness in the field of manufacturing, there must be a balance between economic, environmental and social dimensions. Hence, a complex web of interdependencies is formed in between the parameters affecting the end result of a metal cutting process form. In this work, a structure on the network of parameters has been imposed by applying graph-based modularity analysis. The understanding in form of parameterized relationships between various interacting factors helps in the application of powerful heuristic tools such as expert systems to be implemented.

- by Neeraj Bhanot
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- Graph Theory, Sustainable Manufacturing, Turning, Interdependence
- by IJERA Journal
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- Casting, Turning

The lateral force acting on the tires produces a side slip angle that affects the
directional stability of vehicle. This paper presents some research results of the
influence of driving axle location on the lateral force of vehicle with 4x2 wheel
formula when vehicle is turning. The single track dynamical models of FWD and RWD
vehicle while cornering are created. Based on these two dynamical models, the system
equations of motion built are enable to study the influence of driving axle location on
the lateral force. Some calculated simulation results are shown for illustration

- by IAEME Publication
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- Turning, Lateral Force, Transmission System In Automobiles, Driving Axle

Turning metal removal is the removal of metal outside diameter of a rotating cylindrical workpiece. As it is used to reduce the diameter. of the work piece generally to a specified dimension and to produce a smooth finish on the metal. Often, the work piece is turned so that the sections have different diameters. As is the machining operation that produces cylindrical. In its basic form, it can be defined as an outer surface machining: Based on the findings of the Pilot study, actual experimentation work will be designed and input machining parameters and their values finalized. The results are expected to show that the response variables (output parameters) strongly influenced by the control factors (input parameters). So, the results which are obtained after experimentation analyzed and modeled for their application in manufacturing industry It is concluded that for MRR be maximum factor Cutting speed has to be at high level 3, Feed has to be at high level & D.O.C has to be at high level.

- by IJSRD Journal
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- Turning, Cutting speed, Orthogonal Array, Feed
- by Jorge Olortegui-Yume
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- Machining, Lubrication, Wear, Turning
- by Jorge Olortegui-Yume
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- Thin Films and Coatings, Wavelets, Turning, Metal Cutting Turning

Organizations now a days acquaint process capability index (C pi) to appraise the quality of their items with an aim to improve quality and cut down the operating costs which enhance the productivity and help them to stay competitive. In this paper process capability study is performed for turning operation, keeping in mind the end goal to check the process performance within specific limits. Three process input like spindle speed, feed and depth of cut has been chosen for process capability study in plain turning operation following Taguchi's L 27 orthogonal array. Process capability index was evaluated for two machining attributes frequency of tool vibration and average surface roughness. Single response optimization was executed for these two machining qualities to explore the input settings, which could optimize turning process ability. Optimum parameter settings for frequency of tool vibration and average surface roughness were found to be spindle speed: 240 rpm, feed: 0.16 mm/rev, depth of cut: 0.2 mm. and spindle speed: 240 rpm, feed: 0.16 mm/rev, depth of cut: 0.1 mm. respectively.

- by Himadri Majumder and +1
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- Turning, Multiple criteria decision making (MCDM), Taguchi, Process Capability Analysis
- by iaeme iaeme
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- Mechanical Engineering, Surface Roughness, Turning, Taguchi method

El torneado es una de las técnicas más antiguas utilizadas en la fabricación y decoración del mueble. Su origen es posiblemente sirio hacia el siglo VII a. C., extrañamente los egipcios no lo conocerán hasta la época tolemaica, por la influencia de griegos y romanos. Su facilidad de traslado y montaje, y su economía han hecho que se haya mantenido a través de los siglos, como la técnica más utilizada en la decoración del mueble popular. En zonas rurales el oficio de tornero, era la alternativa de trabajo durante los meses de invierno. Generalmente, el tornero viajaba por una comarca, realizando las piezas in situ y recibiendo a cambio alojamiento, comida y un pequeño jornal. El torno es un instrumento fácil de montar y normalmente en estos casos se usaba el de pértiga que se sujetaba a una viga y no necesa-riamente tenia que instalarse en un lugar cerrado, aunque si techado por las inclemencias del tiempo. Técnica de torneado El torno es una maquina que hace que la pieza sobre la que se trabaja gire sobre si misma y mediante un instrumento cortante, se va dando a la madera la forma deseada. Es muy importante que este bien fijo al suelo para que no se mueva. Esta dotado de dos puntas entre las que se sostiene el trozo de madera que se va a trabajar. Este primero se desbasta para darle la forma de la figura a tornear y antes de sujetarlo al torno se trazan con el compás, los círculos y el resto de las formas que se van a realizar. Los tornos se pueden dividir en dos grupos, los de movimiento alterno, en los que la pieza gira en uno u otro sentido alternativamente y los de movimiento continuo en los que el giro se realiza siempre en un mismo sentido. Los dos puntos entre los que gira la pieza, han de estar a la altura del codo del tornero, para trabajar más cómodamente. La altura de estos puntos sobre la superficie de trabajo, determina el grosor de la pieza. Se debe elegir el torno en función del tipo de pieza y grosor de esta.

- by Elisa Ramiro Reglero
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- Furniture, Turning, Furniture History, Muebles

Sebelum melakukan proses pemesinan suatu hal yang penting dilakukan adalah menentukan parameter pemotongan tersebut. Parameter pemotongan antara lain kecepatan potong, kedalaman potong dan hantaran pemotongan. Ketiga parameter tersebut memberi kontribusi yang significan terhadap laju dan kwalitas produksi. Penelitian ini dilakukan untuk mengetahui pengaruh kecepatan potong pada proses pembubutan terhadap kekasaran permukaan dan topografi permukaan logam alluminium alloy. Percobaan dilakukan dengan menggunakan mesin bubut CNC Mazak, dua jenis mata pahat digunakan dalam pemotongan tersebut yaitu mata pahat HSS dan Karbid. Kecepatan pemotongan yang digunakan bervariasi yaitu 160, 180, 200, 220, dan 240 m/min dengan kedalaman potong 0,5 mm dan hantaran pemotongan sebesar 0,3 dan 0,38 mm/put. Logam aluminum alloy yang dihasilkan dari proses bubut kemudian diukur kekasaran permukaannya dengan menggunakan alat ukur surface test Mituotoyo, pengamatan terhadap topografi permukaan benda kerja dilakukan dengan menggunakan mikroskop digital Jenco. Dari hasil pengukuran dan pengamatan topografi permukaan benda kerja diperoleh bahwa benda kerja yang memiliki tingkat kekasaran permukaan (Ra) lebih tinggi menghasilkan topgrafi permukaan dengan jarak goresan yang lebih lebar berbanding nilai kekasaran permukaan yang lebih rendah. Penggunaan mata pahat karbid menghasilkan nilai kekasaran yang rendah sebesar 5,51 µm pada pemotongan tanpa coolant dengan kecepatan potong 240 m/min dan hantaran 0.3 mm. Sedangkan penggunaan pahat HSS pada pemotongan menghasilkan nilai kekasaran permukaan yang lebih kecil yaitu sebesar 2,11 µm dengan menggunakan coolant. Kecepatan pemotongan memberi pengaruh yang signifikan terhadap kekasaran permukaan benda kerja. Peningkatan kecepatan pemotongan mempengaruhi terhadap penurunan nilai kekasaran permukaan logam.

- by Sobron Loebis
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- Engineering, Materials Engineering, Mechanical Engineering, Manufacturing
- by Dimitrios Manolakos and +2
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- Finite Element Analysis (Engineering), 3d Modeling, Turning, Milling

Optimization of machining parameters considering multiple responses flank wear, surface roughness and material removal rate (MRR) simultaneously are performed using response surface methodology (RSM). The workpiece material chosen for turning is AISI 1045, medium carbon steel and uncoated carbide tool inserts. 20 experiments are designed based on face centered-center composite design for three numerical parameters cutting speed, feed rate and depth of cut. In this work, wear at the flank face of the cutting tool insert and surface roughness at the machined surface are to be minimized whereas the MRR has to be maximized. With the obtained optimum condition a confirmation experiment is performed and the experimental results obtained are flank wear of 0.118 mm, surface roughness of 3.27 µm and MRR of 187.35 gm/min, which shows that prediction using RSM are within the acceptable range. Along with the combined optimization of these responses, a quadratic empirical model is generated for each response. An evolutionary optimization algorithm, firefly algorithm is applied to determine the optimum machining parameters for the chosen objective of lowering flank wear and increasing material removal rate within a specific surface roughness value.

- by Dr. N. Senthilkumar
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- RSM, Turning, Optimization on Firefly Algorithm
- by Siamak Ghorbani
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- Mechanical Engineering, Surface Roughness, ANOVA, Turning
- by S. Ekinović
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- Materials Science, Productivity, Machining, Surface Roughness

The work and study presented in this paper aims to investigate the effect of nose radius on surface roughness, in CNC turning of Aluminium (6061) in dry condition. The effect of cutting conditions (speed, feed and depth of cut) and tool geometry (nose radius) on surface roughness were studied and analysed. Design of Experiments (DOE) were conducted for the analysis of the influence of the turning parameter on the surface roughness by using Response Surface Methodology (RSM) and then followed by optimization of the results using Analysis of Variance (ANOVA) to minimize surface roughness. The nose radius was identified as the most significant parameter. Surface roughness value decreased with increase in nose radius.

Friction plays a very important role in machining titanium and nickel alloys. It is the source for the high amount of heat generation, and as a result, the excessive tool wear during machining these materials. The worn tool is known to create lower surface qualities with tensile surface residual stresses and machine-induced hardening at the surface, as well as high surface roughness. It is essential to create a method to determine how and to what extent the friction is built up on the tool. This study facilitates a determination methodology to estimate the friction coefficients between the tool and the chip on the rake face, as well as the tool and the workpiece on the flank face of the tool. The results are validated with experimental results from the titanium alloy Ti-6Al-4V and the nickel alloy IN-100.

- by Durul Ulutan
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- Titanium, Machining, Superalloys, Turning

- by IAEME Publication
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- Turning, Lateral Force, Transmission System In Automobiles, Driving Axle

After machining nickel-based superalloys, tensile surface residual stresses can cause end-product issues such as fatigue failure. Modeling the residual stress profile is currently tedious and inaccurate. This study introduces a new method of understanding the residual stress profile in terms of quantifiable key measures: peak tensile stress at the surface, magnitude and depth of peak compressive stress, and depth at which residual stress becomes near-zero. Experiments in turning IN-100 and milling GTD-111 have been conducted and subsequent X-ray Diffraction measurements have been utilized to obtain residual stress profiles. Using a sinusoidal decay function fitted to measured residual stress profiles, these four key profile measures are extracted and then the effects of process parameters such as cutting speed, feed, cutting edge radius, and tool coating on these measures are investigated.

- by Durul Ulutan
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- Modeling, Machining, Residual Stress (Engineering), Superalloys

Surface finish is a prime factor for each and every machined product. Surface finish is an important factor in determining the satisfactory functioning of the machined components. A good surface finish improves the appearance, adhesion, corrosion resistance, wear resistance, hardness, modify electrical conductivity, remove burrs and other surface flaws, and controls the surface friction. Hence, the surface finish needs to be measured accurately to ensure the proper functionality of the machined component in the desired applications. Considering the importance of developing accurate and simple measurement techniques of surface finish, this work was undertaken to design a unique model which is enabled to measure surface roughness with the help of RGB values of the given images of the machined component using MATLAB. The objectives of the project include developing a model to classify the type of process the work piece has undergone and to develop a model to predict the cutting parameters of the machined work piece.

- by Mazhar Ayaz
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- Veterinary Medicine, Agronomy, Agriculture, Incubation
- by Siamak Ghorbani
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- Mechanical Engineering, Vibration, Surface Roughness, ANOVA

Cutting fluid in machining is important due to their role in reducing tool wear and improving surface finish. However, controlling the usage is imperative due to the ecological and/or economical and reasons. Minimum quantity lubrication (MQL) has recently emerged as a viable option to minimize the amount of fluid used in machining without sacrificing its lubrication and cooling in machining. This paper presents our effort to understand the parameters in the MQL process in order to expand its effectiveness in cutting operations. Although some literature regarding the influence of flow rates and nozzle directions is available, this information is insufficient. This paper studies three new parameters in the MQL process, namely the droplet size, the droplet size distribution, and the wetting angle. Confocal laser scanning microscopy (CSLM), wavelet filtering, and image processing algorithms were used to calculate the droplet geometry and distribution for various commercially available MQL oils. The wetting angles of the oils were measured by depositing oil droplets onto TiSiN and TiAIN coated inserts. The parameters studied are important to estimate the comparative performance of lubricant-coating pairs.

- by Jorge Olortegui-Yume
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- Machining, Lubrication, Wear, Turning
- by mohd amri sulaiman and +1
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- Mechanical Engineering, Materials Science, Titanium, Turning

Multi-criteria decision making approach is one of the most troublesome tools for solving the
tangled optimization problems in the machining area due to its capability of solving the
complex optimization problems in the production process. Turning is widely used in the
manufacturing processes as it offers enormous advantages like good quality product, customer
satisfaction, economical and relatively easy to apply. A contemporary approach, MOORA
coupled with PCA, was used to ascertain an optimal combination of input parameters (spindle
speed, depth of cut and feed rate) for the given output parameters (power consumption, average
surface roughness and frequency of tool vibration) using L27 orthogonal array for turning on
ASTM A588 mild steel. Comparison between MOORA-PCA and TOPSIS-PCA shows the
effectiveness of MOORA over TOPSIS method. The optimum parameter combination for
multi-performance characteristics has been established for ASTM A588 mild steel are spindle
speed 160 rpm, depth of cut 0.1 mm and feed rate 0.08 mm/rev. Therefore, this study focuses
on the application of the hybrid MCDM approach as a vital selection making tool to deal with
multi objective optimization problems.

- by Himadri Majumder
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- Optimization techniques, ANOVA, Turning, TOPSIS

There are many algorithms for the identification of gradual tool wear (GTW) which usually counts in minutes and the detection of catastrophic tool failure (CTF) which counts in milliseconds. However, the tool may lose its cutting ability by accelerated tool wear (ATW), which may last several seconds and cannot be sensed either by GTW or CTF detection algorithms. The paper presents an innovative algorithm for early detection of ATW and CTF. It consists in comparing the waveforms of the cutting force sensor signal in hierarchical time windows. The compared waveforms are independent of the absolute value of the signal. This allows the detection of ATWs of different intensity and duration. Tests proved that successful detection of ATW allows for prevention of CTF

- by Krzysztof Jemielniak
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- Turning, Cutting Force, Tool Condition Monitoring, Catastrophic Tool Failure

Metal matrix composites (MMCs) represent a new generation of engineering materials in which a strong reinforcement is incorporated into a metal matrix to improve its properties including specific strength, specific stiffness, wear resistance, corrosion resistance and elastic modulus. Aluminum matrix composites (AMCs), a specific type of MMCs, are rapidly replacing conventional materials in various engineering applications, especially in the aerospace and automobile industries due to their attractive properties. From the literature already published it is evident that the machining of AMCs is an important area of research, but only very few if any studies have been carried out using metal particles reinforced AMCs. A multi-parameter analysis of surface finish imparted by turning to a new L316 stainless steel flake-reinforced aluminum matrix composite is presented. Surface finish is investigated by examining a number of surface texture parameters. Spindle speed as well as feed rate was treated as the independent variables under a constant depth of cut whilst roughness parameters were considered as the responses under an L9 orthogonal array experimental design. ANOVA analysis was also conducted to study the effect of the two cutting variables on the surface texture responses. Keywords Surface texture Á Aluminum matrix particulate composite (AMPC) Á Stainless steel flakes (SSF) Á Turning Á Multi-parameter analysis

- by Georgios Seretis and +1
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- Surface Texturing, Turning, Aluminum Matrix Composites, Particulate reinforced composites