Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets (original) (raw)

Development of statistical model to predict Ra and Rz in laser cutting

High Performance Structures and Materials V, 2010

Laser cutting is one of the advanced machining methods for the material removing process. This paper explores the prediction model of the surface roughness (Ra) and roughness height (Rz) of laser beam cutting on acrylic sheets. The Box-Behnken design based Response Surface Method (RSM) was used to predict the effect of the laser cutting parameters, which are laser power, cutting speed and tip distance on Ra and Rz. The predictive models are in good agreement with the experimental results. The first order ...

Artificial Intelligent Model to Predict Surface Roughness in Laser Machining

2009

Light Amplification Stimulation Emission of Radiation or the common name is Laser. The laser light differs from ordinary light due to it has the photons of same frequency, wavelength and phase. Advantages of using laser beam cutting (LBC) are materials with complex figures can easily be cut by incorporating computer numerical control (CNC) motion equipment, LBC has high cutting speed, Low distortion, very high edge quality and most important thing is LBC has a minimal heat affected zone (HAZ).This paper discussed the development of Radian Basis Function Network (RBFN) to predict surface roughness when laser cutting acrylic sheet. The main objectives of this paper are to find the optimum laser parameters (power, material thickness, tip distance and laser speed) and the effect of these parameters on surface roughness. The network was trained until it predict closer to the experimental values. It observed that some of good surface roughness specimen fail in terms of structure when investigate under microscope.

The Effect of Selected Technological Parameters of Laser Cutting on the Cut Surface Roughness

Tehnicki vjesnik - Technical Gazette, 2018

The theoretical part of the paper presents some basics of the laser cutting technology and principles. The characteristics of the CO2 laser beam and the parameters entering the laser cutting process are described. The conventionally used material-S235JR steel, method of its laser cutting and the effect of process technological parameters on the cut area characteristics are presented as well. Experimental investigations were performed on samples made of the S235JR steel, with application of different laser cutting technological parameters, while observing the surface roughness Rz and Ra. Roughness results are displayed as images of the scanned cutting surface geometry and graphically for each sample, with comparison between the individual test samples. Effects of the position of the laser beam focus point, the cutting speed and assist gas pressure on the cut surface roughness are analyzed. It was concluded that the laser cutting parameters impose significant influence on the cut surface quality.

Laser Cut Surface Roughness Modelling Using Regression Analysis

Proceedings of the 29th International DAAAM Symposium 2018, 2018

In the modern industry the use of lasers has proven to be very useful due to the high precision and quality of cut. Important indicators of the cutting surface quality are roughness of the cutting surface and. In this research experiment is performed to analyse the influence of laser power , cutting speed and assist gas pressure as independent variables on dependent variables and during HSG fiber laser cutting of 1.4307 DIN stainless steel plates, 1 mm thick, using nitrogen as assist gas. During the experiment 75 samples are cut and 225 values of each cutting surface roughness and are measured. Data obtained during the experiment are analysed using regression analysis. Mathematical model is developed for each independent variable and depending on the significant independent variables. Surface roughness values are compared and analysed according to the quality categories defined by ISO 9013: 2002 (E). It can be seen that regression analysis is good tool in modelling cutting surface quality and .

Research on surface roughness by laser cut

2006

Laser cutting is one of the most industrial applications. Laser cutting with oxygen is used primarily for cutting of mild and low-alloyed steels. Cut surface quality is a very important characteristic of laser cutting that ensures an advantage on other contour cutting processes. This paper gives results of the experimental research referring to the determination of surface indicators obtained by laser cutting. The relationships between roughness parameters are given by linear and exponential equations.

Surface Roughness Optimization in CO2 Laser Cutting by Using Taguchi Method

Lucrarea se referă la o modalitate de aplicare a metodei Taguchi în vederea optimizării rugozităţii suprafeţei obţinute la tăierea cu laser CO 2 a semifabricatelor din oţel moale. Cercetarea experimentală a fost concepută şi s-a desfăşurat pe baza unui tabel ortogonal standard, de tip L 25 , în cazul căruia principalii parametri de tăiere au fost viteza, puterea fasciculului laser şi presiunea gazului de protecţie, cu valori pe cinci niveluri. Prin analiza valorilor medii şi prin analiza varianţei, au fost identificate valori adecvate pentru parametrii importanţi ai procesului de tăiere. Rezultatele au arătat că viteza de aşchiere şi presiunea gazului ajutător sunt cei mai importanţi factori care afectează rugozitatea suprafeţei, în timp ce influenţa puterii fasciculului laser este mult mai mică. This paper demonstrates the application of Taguchi method for optimization of surface roughness in CO 2 laser cutting of mild steel. The experiment was designed and carried out on the basis of standard L 25 Taguchi's orthogonal array in which three laser cutting parameters such as the cutting speed, laser power and assist gas pressure were arranged at five levels. From the analysis of mean values of variance, the significant laser cutting parameters were identified. The results showed that the cutting speed and assist gas pressure are the most significant parameters affecting the surface roughness, whereas the influence of the laser power is much smaller.

Surface roughness analysis after laser assisted machining of hard to cut materials

Journal of Physics: Conference Series, 2014

Metal matrix composites and Si 3 N 4 ceramics are very attractive materials for various industry applications due to extremely high hardness and abrasive wear resistance. However because of these features they are problematic for the conventional turning process. The machining on a classic lathe still requires special polycrystalline diamond (PCD) or cubic boron nitride (CBN) cutting inserts which are very expensive. In the paper an experimental surface roughness analysis of laser assisted machining (LAM) for two tapes of hard-to-cut materials was presented. In LAM, the surface of work piece is heated directly by a laser beam in order to facilitate, the decohesion of material. Surface analysis concentrates on the influence of laser assisted machining on the surface quality of the silicon nitride ceramic Si 3 N 4 and metal matrix composite (MMC). The effect of the laser assisted machining was compared to the conventional machining. The machining parameters influence on surface roughness parameters was also investigated. The 3D surface topographies were measured using optical surface profiler. The analysis of power spectrum density (PSD) roughness profile were analyzed.

Parametric Analysis of Cutting Parameters for Laser Beam Machining Based on Central Composite Design

Laser beam machining (LBM) is one in all the advanced machining processes that used for shaping virtually whole variety of engineering materials. In LBM, surface roughness is one in all necessary response that affects the product characteristics and quality of the product. During this analysis work, the impact of process parameters like cutting speed, frequency and duty cycle surface roughness (Ra) for steel material in laser cutting mentioned. L 27 orthogonal array was generated for full factorial style to better understanding of interaction among the process parameters. The values of surface roughness for steel were calculated by victimization model equations and Central Composite design of Response Surface Methodology (RSM) employed to parametric analysis of the experimental data. 1. Introduction Emergence of advanced engineering materials, rigorous design needs, and complex form and weird size of work piece prohibit the employment of conventional machining ways. Hence, it absolutely understands to develop some nonconventional machining ways called advanced machining processes. LBM is one among the advanced machining processes that are used for shaping nearly whole vary of engineering materials. There are lot of applications of LASER is in cutting of metals and non-metals, soft and difficult to machine (DTM) materials. The laser directed at the specified surface and wrapped around to cut the materials within the desired form. LBM is a non-conventional machining method, so it needs high investment and offers poor efficiency; therefore high attention needed for higher utilization of resources. The values of process parameters determined to yield the specified product quality and conjointly to maximize the method performances. In LBM, there are several factors like beam parameters, material parameters and machining parameters that affects the assorted quality characteristics, e.g. surface roughness, Heat Affected Zone (HAZ), recast layer, etc. design experimental approach used as superior from alternative approach as a result of it's a systematic and scientific manner of coming up with the experiments, assortment and analysis the info with restricted use of accessible resources. Nd: YAG and CO2 were most generally used for LBM application. Type the first days of the high power laser, Nd: YAG laser were solely accessible inperiodical mode whereas CO 2 laser were accessible each in periodical and continuous (CW) mode. Now a day's each laser varieties accessible as periodical and CW [2, 3]. Sivarao et al. [4] have through an experiment investigated the impact of surface roughness on steel having thickness 6 millimeter with numerous parameters like cutting speed, frequency and duty cycle and he find a RSM based model equation for this experiment. They found that surface roughness was extremely tormented by cutting speed and duty cycle; thus these two are the foremost affecting parameters and concluded that at high cutting speed and low duty cycle, best roughness are very often achieved. Once comparison of the information between the calculated and determined values for surface roughness they found that the deviation error between the expected and determined values isn't over than 15%, it implies that mathematical model obtained for surface roughness is reliable. During this analysis work, the impact of method parameters like cutting speed, frequency and duty cycle surface roughness (Ra) for steel material in optical maser cutting is mentioned. L-27 orthogonal array was selected for full factorial design to higher understanding of interaction

A new method for the prediction of laser cut surface topography

The submitted contribution focuses on the clarification of a laser beam cutting technology especially from the point of view of created surface topography. It provides a new view on a deformation process caused by laser beam action and on possibilities of using the surface topography. The measurement and characterisation of surface topography was performed in depth traces using a contact profilometer Surftest SJ 401 and by and an optical-contact profilometer Talysurf CLI 2000 (measured from the top edge of the sample). Thanks to this procedure, it was possible to observe and to measure a development of the numerical values of the surface (profile) roughness parameter Ra. Based on the measurement of the surface topography, there were analyzed and interpreted data with a purpose to theoretically describe surface topography and to develop an analytical solution for the profile topographical function. By using the profile topographical function, it is possible to solve the practical problems the most engineers and users face in laser beam cutting technology (LBC) process, as well as to maximize LBC manufacturing system performance and to determine the values of the process parameters that will reach the desired product quality.

RSM Based Modeling for Surface Roughness Prediction in Laser Machining

2010

Statistics is a branch of mathematics used extensively in natural science and also in the engineering field as well as in social science, physics and computing. The machining process selected for this study is laser cutting process of mild steel. Response surface methodology will be used as a technique for the statistical study. The influence of cutting speed, frequency and duty cycle on surface roughness will be a main portion of this study. For statistical approach, a mathematical based model has been developed through regression analysis to study the response prediction. It is found that for the surface roughness, cutting speed plays an important role. Only a high cutting speed can produce good surface roughness coupled with high duty cycle regardless of frequency.