Engin KILIÇ - Academia.edu (original) (raw)

Papers by Engin KILIÇ

Machining Science and Technology

International Journal of Mechatronics and Manufacturing Systems, 2021

Machining Science and Technology, 2021

Abstract Ti-6Al-4V is widely used in aerospace, medical and defense industries where materials wi... more Abstract Ti-6Al-4V is widely used in aerospace, medical and defense industries where materials with superior characteristics are needed. However, Ti-6Al-4V is categorized as a difficult-to-cut material, and machining of this alloy is highly challenging. Ultrasonic Assisted Milling (UAM) is a quite recent method to facilitate the machining of difficult-to-cut materials. This method has numerous advantages over the Conventional Milling (CM) method, such as reduced cutting forces and increased surface quality. Besides, Minimum Quantity Lubrication (MQL) is an alternative cooling method to enhance the process efficiency with respect to conventional cooling methods. Cutting force and surface roughness are essential measures to evaluate the cutting performance of a machining process. However, the simultaneous effects of implementing MQL and ultrasonic vibrations in milling operations are not much researched yet. In this study, the combined effects of UAM and MQL on cutting forces and surface roughness during the machining of Ti-6AL-4V are investigated. Results show that the combination of MQL and UAM enhances the cutting forces in rough cutting operations and the surface roughness in both finish and rough cutting operations significantly compared to conventional processes. Consequently, it is concluded that simultaneous implementation of UAM and MQL enhances overall cutting performance in end-milling operation of Ti-6Al-4V.

Journal of Cleaner Production, 2020

The implementation of sustainable manufacturing techniques to make machining processes more ecofr... more The implementation of sustainable manufacturing techniques to make machining processes more ecofriendly is a challenging topic that has attracted significant attention from the industrial sector for many years. As one of the dominant manufacturing processes, machining can have a considerable impact in terms of ecology, society, and economics. In certain areas, this impact is a result of using certain cutting fluids, especially during the machining of difficult-to-cut alloys such as titanium, where a large amount of cutting fluid is wasted to ease the cutting process. In such scenarios, identifying suitable machining conditions to supply cutting fluids using eco-friendly techniques is currently a major focus of academic and industrial sector research. In this study, effects of minimum quantity lubrication with different concentrations of hexagonal boron nitride nanoparticles on the surface roughness and cutting force of slot-milled titanium alloy is investigated using analysis of variance and response surface methodology. The results reveal that all responses are sensitive to changes in the feed per tooth, cutting depth, and cutting fluid flow rate. The regression functions generated were combined with particle swarm optimization in order to improve energy-efficiency, as well. Possible sectorial scenarios were generated for wider industrial adoption. With this study, it was proven that utilizing minimum quantity lubrication with hexagonal boron nitride nanoparticles can reduce both cutting force and surface roughness, which makes it to be a promising alternative as a nanoparticle augmented minimum quantity lubrication method for machining titanium alloys.

Journal of Mechanical Engineering Science, 1982

A method and the related equipment to obtain dynamic cutting force coefficients under simulated r... more A method and the related equipment to obtain dynamic cutting force coefficients under simulated regenerative chatter conditions are described. The coefficients in both thrust (normal to the cut surface) and the main cutting (tangential) directions for orthogonal cutting are presented for various cutting conditions. An algorithm which is developed to predict chatter instability by combining the receptance of a machine tool with the dynamic cutting data is also presented. Comparison of experimentally-determined stability charts of a centre lathe with the predicted ones is made to evaluate the reliability of the method.

Communications in Computer and Information Science, 2015

Virtual Enterprise (VE) is one of the growing trends in agile manufacturing concepts. Under this ... more Virtual Enterprise (VE) is one of the growing trends in agile manufacturing concepts. Under this platform companies with different skills and core competences are cooperate with each other in order to accomplish a manufacturing goal. Success of VE, as a consortium, highly depends on the success of its partners. So it is very important to choose the most appropriate companies to enroll in VE. In this study a Fuzzy Inference System (FIS) based approach is developed to evaluate and select the potential enterprises. The evaluation is conducted based on four main criteria; unit price, delivery time, quality and past performance. These criteria are considered as inputs of FIS and specific membership functions are designed for each. By applying fuzzy rules the output of the model, partnership chance, is calculated. In the end, the trustworthy of the model is tested and verified by comparing it with fuzzy-TOPSIS technique providing a sample.

The International Journal of Advanced Manufacturing Technology, 2015

A virtual enterprise (VE) is a platform that enables dynamic collaboration among manufacturers an... more A virtual enterprise (VE) is a platform that enables dynamic collaboration among manufacturers and service providers with complementary capabilities in order to enhance their market competitiveness. The performance of a VE as a system depends highly on the performance of its partner enterprises. Hence, choosing an appropriate methodology for evaluating and selecting partners is a crucial step toward creating a successful VE. In this paper, we begin by presenting an extensive review of articles that address the VE partner selection problem. To fill a significant research gap, we develop a new goal programming (GP)–based approach that can be applied in extreme bidding conditions such as tight delivery timelines for large demand volumes. In this technique, fuzzy analytic hierarchy process (F-AHP) is used to determine customer preferences for four main criteria: proposed unit price, on-time delivery reliability, enterprises’ past performance, and service quality. These weights are then incorporated into the GP model to evaluate bidders based on customers’ preferences and goals. We present a case study in which we implement the F-AHP-GP technique and verify the model’s applicability, as it provides a more flexible platform for matching customers’ preferences.

Journal of Cleaner Production, 2016

Energy is a major input in the manufacturing sector. Its security and efficiency are of supreme i... more Energy is a major input in the manufacturing sector. Its security and efficiency are of supreme importance to a nation's industrial activities. Energy consumption also has serious environmental impacts in terms of Greenhouse Gas (GHG) emissions. In order to use energy more efficiently, simply designing parts and planning manufacturing processes with an energy-aware mindset is insufficient; it is also necessary to model and assess the energy efficiency of a process chain from a holistic point of view. In this work, we propose an integrated energy reduction framework and the internal methods to implement it. Our framework builds on three pillars. Creating an energy profile of a process chain is the first step in characterizing a manufacturing system in terms of energy demand. Energy-aware part designs and process plans are based on ISO/STEP 10303 AP224 standards in order to estimate the embodied energy of a mechanical part. Finally, using discrete event simulation methods, the energy consumption of a process chain is assessed and reduction scenarios are generated based on design or operational alternatives. A data collection and analytics system visualizing measures and key performance indicators (KPIs) also must be implemented in order to measure real consumption values and track improvement results over time. The energy reduction in manufacturing process chains (E-MPC) framework is unique in that it provides a structured method which enables the embodied energy of a part to be estimated during early design stages and further enables the evaluation of design impacts on process chains, thereby recognizing the dynamic nature of systems. A pilot case study of the framework was implemented at the largest household appliance manufacturer in Turkey, Arçelik A.S ¸. In order to evaluate its usefulness and validity, we performed a detailed implementation on a fully automated crankshaft manufacturing line in Arçelik's refrigerator compressor plant. The results reveal that design improvements estimated gains would reach 2%, whereas operational improvements yield up to 10% energy savings per produced part.

Re-engineering Manufacturing for Sustainability, 2013

Energy efficiency in manufacturing has become a key concern due to the increased awareness of the... more Energy efficiency in manufacturing has become a key concern due to the increased awareness of the adverse effects of global warming. First step for increasing energy efficiency is to quantify the energy consumed for manufacturing processes. This study presents a prediction model for the theoretical energy that is consumed during the manufacturing processes of a rotational part and resulting CO 2 release. Theoretical energy is the tool tip energy required to remove the given volume of chip. Prediction model is based on the volume removed for each STEP AP224 feature and the specific cutting energy for the given material.

International Journal of Flexible Manufacturing Systems, 2004

This paper presents a dissimilarity maximization method (DMM) for real-time routing selection and... more This paper presents a dissimilarity maximization method (DMM) for real-time routing selection and compares it via simulation with typical priority rules commonly used in scheduling and control of flexible manufacturing systems (FMSs). DMM aims to reduce the congestion in the system by selecting a routing for each part among its alternative routings such that the overall dissimilarity among the selected routings is maximized. In order to evaluate the performance of DMM, a random FMS, where the product mix is not known prior to production and off-line scheduling is not possible, is selected for the simulation study. A software environment that consists of a computer simulation model, which mimics a physical system, a C++ module, and a linear program solver is used to implement the DMM concept. In addition to DMM, the simulation study uses two priority rules for routing (i.e., machine) selection and seven priority rules for selecting parts awaiting service at machine buffers. The results show (1) DMM outperforms the other two routing selection rules on production rate regardless of the part selection rule used, and (2) its performance is highly dependent on the part selection rules it is combined with.

2001 Annual Conference Proceedings

This paper focuses on how basic CIM laboratory work can be enhanced through the use of Internet. ... more This paper focuses on how basic CIM laboratory work can be enhanced through the use of Internet. In the typical CIM laboratory experiment students are asked to produce their NC-Codes for a given task. By the use of the web-site tools as discussed here, students' design their parts, produce NC-Codes, upload them to the FTP-Site and prepare necessary configuration for workorder dispatching. In the lab hour they are again asked to send the work order for the part and watch online status and statistics online. This method demonstrates a typical concurrent engineering approach in an automated manufacturing environment, from design to manufacture.

The solution to the problem of selecting optimum machining conditions requires sophisticated anal... more The solution to the problem of selecting optimum machining conditions requires sophisticated analytical techniques. The mathematical models used in the analysis of optimal machining conditions are inherently non-linear models which are constrained by the available speeds, feeds, horsepower, surface finish, etc. In this paper, a relatively new technique, the Geometric Programming is used for selecting the optimal machining conditions; cutting velocity and feed.

IFAC Proceedings Volumes, Oct 1, 1995

Due to the advances and developments in both hardware and software, the technology embedded in Fl... more Due to the advances and developments in both hardware and software, the technology embedded in Flexible Manufacturing Systems (FMSs) is not only becoming more complex, but also presenting a number of decision problems to be solved, especially in the area of scheduling. An exhaustive survey of the literature on FMS scheduling clearifies several significant differences between what the theory provides and how it is applied in practice. The main objective of this paper is to highlight the gap between the theory and the practice in the field of FMS scheduling. In this paper, scheduling domain is decomposed in a top-down manner, and an interactive scheduling system, based on the information and data flow on this decomposition, is proposed to bridge the gap.

Springer eBooks, 2012

Every enterprise should track and asses its environmental impact for accountability reasons towar... more Every enterprise should track and asses its environmental impact for accountability reasons towards its consumers, employees, government, and society. The objective of this study is to design an eco-tracking framework and a decision support system architecture in order to provide energy visibility to enterprises by close monitoring the energy consumption of their manufacturing processes. The proposed architecture uses the energy consumption and production activity data as input. Energy consumption data is collected from meters and production activity data from manufacturing automation equipment (e.g. PLCs, CNCs, etc.). Collected energy data which is stored in a central data warehouse, is processed, contextualized with activity data and transformed to eco-KPIs in order to benchmark energy efficiency of the production processes and enable factory supervisors to make decisions towards better environmental footprint of the enterprise. The proposed decision support framework is founded on Software as a Service (SaaS) approach which can enable fast visibility of data throughout enterprise and provide easy scalability.

Distributed Internet Application (DNA) Architecture describes a framework of building software te... more Distributed Internet Application (DNA) Architecture describes a framework of building software technologies together in an integrated web and three-tier model of computing. Agent based manufacturing systems are heterarchical, single layered platforms with 'intelligent' manufacturing system elements, such as parts, and machines, that can communicate between each other, and capable of performing specific tasks in real time. This paper focuses on presenting the study carried out for developing an Agent based shop floor control system in Middle East Technical University, Mechanical Engineering Department, Computer Integrated Manufacturing Laboratory (METUCIM). The framework is realized through implementation of a message driven heterarchical manufacturing cell controller, using the integration definition for function modeling (IDEF0) and the integration definition for information modeling (IDEF1X) standards for information system modeling, tied with state-of- the-art Agent based...

Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, 2014

Communications in Computer and Information Science, 2012

In this paper a Platform as a Service (PaaS) based multi agent virtual enterprise framework for s... more In this paper a Platform as a Service (PaaS) based multi agent virtual enterprise framework for sustainability is introduced which is designed in order to facilitate the collaboration between Small and Medium Sized Enterprises (SMEs) working in Aviation and Defense Cluster of OSTIM Organized Industrial Region in Ankara, Turkey. In order to enable SMEs to capture opportunities and design products collaboratively in a network, a Virtual Enterprise framework shall be developed. This framework also targets to improve sustainability for the SMEs in the breeding environment and prepare them for the forthcoming legislation regarding reduction of environmental impact, energy management and minimizing carbon emissions.