Analysis and optimisation of machinability behavior of GFRP composites using fuzzy logic

2015 ◽  
Vol 11 (1) ◽  
pp. 102-119 ◽  
Author(s):  
Jenarthanan Poornachary Mugundhu ◽  
Suresh Subramanian ◽  
Ajay Subramanian
Keyword(s):  
Fuzzy Logic ◽  
Machining Process ◽  
Depth Of Cut ◽  
Work Piece ◽  
Mechanical And Thermal Properties ◽  
Machining Parameters ◽  
End Mill ◽  
Gfrp Composites ◽  
Content Type ◽  
Useful Life

Purpose – Glass fibre reinforced plastics (GFRP) contain two phases of materials with drastically distinguished mechanical and thermal properties, which brings in complicated interactions between the matrix and the reinforcement during machining. Surface quality and dimensional precision will greatly affect parts during their useful life especially in cases where the components will be in contact with other elements or materials during their useful life. The purpose of this paper is to discuss the application of the Taguchi method with fuzzy logic to optimise the machining parameters for machining of GFRP composites with multiple characteristics. Design/methodology/approach – The machining tests were performed on a CNC milling machine using solid carbide (K10) End mill cutting tool with three different helix angles. Experiments were planned using Taguchi’s orthogonal array with the cutting conditions prefixed. Findings – The machining parameters, namely, helix angle of the end mill cutter, spindle speed, feed rate, depth of cut, and work piece fibre orientation (specially applied to the GFRP composites) were optimised with considerations of multiple response characteristics, including machining force, material removal rate, and delamination. The results from confirmation runs indicated that the determined optimal combination of machining parameters improved the performance of the machining process. Originality/value – Multi-response optimisation of machinability behaviour of GFRP composites using fuzzy logic has not been attempted previously.

Analysis and optimisation of machinability behaviour of CFRP composites using fuzzy logic

2015 ◽  
Vol 44 (1) ◽  
pp. 48-55 ◽  
Author(s):  
M.P. Jenarthanan ◽  
R. Jeyapaul
Keyword(s):  
Fuzzy Logic ◽  
Taguchi Method ◽  
Removal Rate ◽  
Performance Characteristics ◽  
Machining Process ◽  
Tool Geometry ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Content Type ◽  
Cfrp Composites

Purpose – The purpose of this paper is to analyse and optimise the machinability behaviour of Carbon Fibre Reinforced Polymer (CFRP) composites with multiple performance characteristics using the Taguchi method with fuzzy logic. Design/methodology/approach – A multi-response performance index (MRPI) was used for optimisation. The machining parameters, viz., tool geometry (helix angle of the endmill cutter), spindle speed, feed rate and depth of cut, were optimised with consideration of multiple performance characteristics, viz., machining force and material removal rate. Findings – The results from confirmation runs indicated that the determined optimal combination of machining parameters improved the performance of the machining process. Originality/value – The machinability behaviour of CFRP composites during milling of CFRP composites using Taguchi method with fuzzy logic has not been previously analysed.

Multi-objective optimization in end milling of GFRP composites using Taguchi techniques with principal component analysis

2017 ◽  
Vol 13 (1) ◽  
pp. 58-70 ◽  
Author(s):  
M.P. Jenarthanan ◽  
R. Gokulakrishnan ◽  
B. Jagannaath ◽  
P. Ganesh Raj
Keyword(s):  
Surface Roughness ◽  
End Milling ◽  
Principal Component ◽  
Helix Angle ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
End Mill ◽  
Gfrp Composites ◽  
Content Type ◽  
Machining Force

Purpose The purpose of this paper is to find out the optimum machining parameters using Taguchi technique with principal component analysis (PCA) during end milling of GFRP composites. Design/methodology/approach In multi-objective optimization, weight criteria of each objective are important for producing better and accurate solutions. This method has been employed for simultaneous minimization of surface roughness, cutting force and delamination factor. Experiments were planned using Taguchi’s orthogonal array with the machining parameters, namely, helix angle of the end mill cutter, spindle speed, feed rate and depth of cut were optimized with considerations of multiple response characteristics, including machining force, surface roughness and delamination as the responses. PCA is adopted to find the weight factors involved for all objectives. Finally analysis of variance concept is employed on multi-SN ratio to find out the relative significance of machining parameter in terms of their percentage contribution. Findings The multi-SN ratio is achieved by the product of weight factor and SN ratio to the performance characteristics in the utility concept. The results show that a combination of machining parameters for the optimized results has helix angle of 35°, machining speed of 4,000 m/min, feed rate of 750 mm/rev and depth of cut of 2.0 mm. Originality/value Effect of milling of GFRP composites on delamination factor, surface roughness and machining force with various helix angle solid carbide end mill has not been analysed yet using PCA techniques.

Mathematical modeling of delamination factor on end milling of hybrid GFRP composites through RSM

2016 ◽  
Vol 45 (5) ◽  
pp. 371-379 ◽  
Author(s):  
M.P. Jenarthanan ◽  
A. Lakshman Prakash ◽  
R. Jeyapaul
Keyword(s):  
End Milling ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
End Mill ◽  
Gfrp Composites ◽  
Content Type ◽  
Gfrp Composite ◽  
Solid Carbide ◽  
Mill Cutter

Purpose This paper aims to develop a mathematical model for delamination during end milling by using response surface methodology (RSM) and to determine how the input parameters (cutting speed, depth of cut and feed rate) influence the output response (delamination) in machining of hybrid glass fibre reinforced plastic (GFRP; abaca and glass) composite using solid carbide end mill cutter. Design/methodology/approach Three factors, three levels Box–Behnken design in RSM is used to carry out the experimental investigation. Shop microscope Mitutoyo TM-500 is used to measure the width of maximum damage of the machined hybrid GFRP composites. The “Design Expert 8.0” is used to analyse the data collected graphically. Analysis of variance is carried out to validate the model and for determining the most significant parameter. Findings The RSM is used to predict the input factors influencing the delamination on the machined surfaces of hybrid GFRP composite at different cutting conditions with the chosen range of 95 per cent confidence intervals. Analysis on the influences of the entire individual input machining parameters on the delamination has been carried out using RSM. Originality/value Effect of milling of hybrid GFRP composite on delamination with solid carbide end mill has not been analysed yet using RSM.

Multi-objective optimisation on end milling of hybrid fibre-reinforced polymer composites using GRA

2017 ◽  
Vol 46 (3) ◽  
pp. 194-202 ◽  
Author(s):  
M.P. Jenarthanan ◽  
Raahul Kumar S ◽  
Vinoth S
Keyword(s):  
Surface Roughness ◽  
End Milling ◽  
Helix Angle ◽  
Inspection System ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
End Mill ◽  
Content Type ◽  
Gfrp Composite ◽  
Solid Carbide

Purpose This study aimed to develop a mathematical model for delamination and surface roughness during end milling by using grey relational analysis (GRA) and to determine how the input parameters (cutting speed, depth of cut, helix angle and feed rate) influence the output response (delamination and surface roughness) in machining of hybrid glass fibre-reinforced plastic (GFRP) (abaca and glass) composite using solid carbide end mill cutter. Design/methodology/approach The Four factors, three levels Taguchi orthogonal array design in GRA is used to conduct the experimental investigation. The Shop Vision inspection system is used to measure the width of maximum damage of the machined hybrid GFRP composite. The Shop Handysurf E-35A surface roughness tester is used to measure the surface roughness of the machined hybrid GFRP composite. “Minitab 14” is used to analyse the data collected graphically. Analysis of variance is conducted to validate the model in determining the most significant parameter. Findings The GRA is used to predict the input factors influencing the delamination and surface roughness on the machined surfaces of the hybrid GFRP composite at different cutting conditions with the chosen range of 95 per cent confidence intervals. Analysis on the influences of the entire individual input machining parameters on the delamination and surface roughness has been conducted using GRA. Originality/value Effect of milling of the hybrid GFRP composite on delamination and surface roughness with various helix angle solid carbide end mill has not been analysed yet using the GRA technique.

scholarly journals Influence of Cutting Parameters to Surface Area Roughness in Dimple Machining Using Milling Process

2021 ◽  
Vol 18 (3) ◽  
Author(s):  
M.A. Hanafiah ◽  
A.A. Aziz ◽  
A.R. Yusoff
Keyword(s):  
Surface Area ◽  
Feed Rate ◽  
Research Work ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Machining Process ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
End Mill ◽  
Ball End Mill

Surface quality is among the predominant criterion in measuring machining process performance, including milling. It is extremely dependent on the process variable, such as cutting parameters and cutting tool conditions. The main intention of this research work is to study the effect of the milling machining parameters, including depth of cut, spindle speed, feed rate as well as machining pattern to the final surface area roughness of the fabricated dimple structure. The concave profile of the dimple is machined at the right angle to a flat Al6061 specimen using a ball end mill attached to a 3-axis CNC milling machine, and the surface area of the concave profile is measured using 3D measuring laser microscope. It is observed that surface area roughness reacts with the spindle speed and feed rate with different tool sizes. Based on the result gained, the work has successfully characterised the influence of studied milling parameters on the dimple surface area roughness, where within the range of the studied parameter, the surface area roughness varies only less than 2.2 μm. The research work will be continued further on the incline milling technique and micro size ball end mill.

Fabrication of dimple structured surface of A390 Al-Si alloy using turning process

2017 ◽  
Vol 69 (3) ◽  
pp. 348-354
Author(s):  
Mohd Nor Azam Mohd Dali ◽  
Jaharah A. Ghani ◽  
Che Hassan Che Haron ◽  
Sharudin Hassan
Keyword(s):  
Optimum Condition ◽  
Working Environment ◽  
Numerical Control ◽  
Machining Process ◽  
Future Application ◽  
Tool Geometry ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Turning Process ◽  
Content Type

Purpose The purpose of this paper is to produce dimple structure on a cylindrical surface for Aluminium-Silicon (Al-Si) alloy piston (A390) using turning process. The process selection is based on factors such as the capability of machining process, low cost process, minimum set up time and green working environment. Design/methodology/approach Three main machining parameters that greatly influenced the dimple structure fabrication were identified from previous researches (cutting parameters, vibration and cutting tool geometry). To facilitate dimple structure fabrication using turning process, a dynamic assisted tooling (DATT) was developed. Experiments were conducted on Al-Si A390 material for future application of automotive piston. A three-dimensional surface profiler (Alicona) was used for geometry measurement and analysis of dimple structure. The Taguchi method, with an L8 orthogonal array, was used to accommodate seven parameters used in the fabrication of dimpled structures using turning process. Signal-to-noise (S/N) ratio and observation on the shape of dimple structure array were used to determine the optimum machining condition. Findings Optimum parameters obtained using S/N ratio analysis were cutting speed of 9 m/min, depth of cut of 0.01 mm, amplitude displacement of 1 mm, nose radius of 0.4 mm and frequency of (25 Hertz). Whereas feed rate, rake and relief angles were not significant to the size, shape and dimple array; therefore, their selected values depend on requirement of the application. Based on the S/N ratio and uniformity of the array of dimple structure as the main reference, the sixth and eighth experiment conditions almost achieved the optimum condition which are able to produce the width of dimple structure of 396.82 and 560.43 μm, respectively, dimple length of 3,261.6 and 2,422.7 μm, respectively, dimple depth of 63.43 and 65.97 μm, respectively, area ratio of 10 and 10.39 per cent, respectively, and surface roughness of 3.0023 and 3.0054 μm, respectively. These results are within the range of dimple structure obtained by the previous researchers for sliding mechanical components application. Originality/value The optimum condition of machining parameters in producing uniform dimple structure led to the compilation of data base in dimple structure research via turning process. Dimple structure produced is similarly obtained with other processes like laser, burnishing, photochemical, etc. DATT developed has the ability to produce repeatable vibration frequency, stable and consistent amplitude displacement using a simple crank concept and structure that can be mounted on all types of lathe machine either conventional or computer numerical control.

scholarly journals Application Potential of Fuzzy and Regression in Optimization of MRR and Surface Roughness during Machining of C45 Steel

2019 ◽  
Vol 63 (2) ◽  
pp. 132-139
Author(s):  
Santosh Madival ◽  
Manjunath Lingappa Halappa ◽  
Mohammed Riyaz Ahmed ◽  
Lokesha Marulaiah
Keyword(s):  
Surface Roughness ◽  
Fuzzy Logic ◽  
Regression Model ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Cryogenic Treatment ◽  
Machining Process ◽  
Depth Of Cut ◽  
Machining Parameters

In the machining industry, coolant has an important role due to their lubrication, cooling and chip removal functions. Using coolant can improve machining process efficiency, tool life, surface quality and it can reduce cutting forces and vibrations. However, health and environmental problems are encountered with the use of coolants. Hence, there has been a high demand for deep cryogenic treatment to reduce these harmful effects. For this purpose, −196 °C LN2 gas is used to improve machining performance. This study focuses on the prediction of surface roughness and material removal rate with cryogenically treated M2 HSS tool using fuzzy logic and regression model. The turning experiments are conducted according to Taguchi's L9 orthogonal array. Surface roughness and material removal rate during machining of C45 steel with HSS tool are measured. Cutting speed, feed rate, and depth of cut are considered as machining parameters. A model depended on a regression model is established and the results obtained from the regression model are compared with the results based on fuzzy logic and experiment. The effectiveness of regression models and fuzzy logic has been determined by analyzing the correlation coefficient and by comparing experimental results. Regression model gives closer values to experimentally measured values than fuzzy logic. It has been concluded that regression-based modeling can be used to predict the surface roughness successfully.

Contribution of Factors such as Machining Parameters, MQL Nozzle Orientation (Angle & Distance) and MQL Nano-Fluid Type on Surface Finish of Turned Steel Work-Pieces Using DOE Approach

2021 ◽  
Vol 1019 ◽  
pp. 181-193
Author(s):  
Miriyala Veerabhadrarao ◽  
Bhushan T. Patil ◽  
Vasim A. Shaikh ◽  
D.S.S. Sudhakar
Keyword(s):  
Surface Finish ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Orientation Angle ◽  
Machining Process ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Work Piece ◽  
Machining Parameters ◽  
Nozzle Orientation

Study of input factors play a vital role in controlling of process responses such as surface finish, cutting temperature, energy consumption etc. in machining process. Design of Experiment (DOE) is one such tool used by researchers to identify the key factors and levels and optimize the process.An attempt was made to identify and experiment turning of AISI 4340 steel using 6 factors viz. cutting speed, feed rate, depth of cut, MQL nozzle orientations (distance from the cutting tool-chip interface, nozzle angle) and different cutting fluid (Coolant). The response variable selected for study was surface roughness of the work-piece which needed to fit criteria smaller-the-better. L25 Orthogonal Array-OA design was selected for 6 factors and 5 levels. Comparison of results of average responses of different levels of factors, analysis of variance (ANOVA) of the process is detailed. Experimental results showed that the key contributors in the turning process are due to cutting speed, feed and depth of cut covering from 12% to 40%. The major contributor to the process was the cutting speed. Selection of MQL fluids and nozzle orientation contributed to 10% showing least significance.This experiment helps us to understand the importance of machine cutting conditions as key success factors which can be assisted with MQL fluids and other input factors.

Performance assessment of energy efficient and eco-friendly turning of Nimonic C-263: A comparative study on MQL and cryogenic machining

2021 ◽  
pp. 095440542110619
Author(s):  
Prashant S Jadhav ◽  
Chinmaya P Mohanty
Keyword(s):  
Work Environment ◽  
Manufacturing Industry ◽  
Cutting Speed ◽  
Machining Process ◽  
Depth Of Cut ◽  
Work Piece ◽  
Cryogenic Machining ◽  
Machined Surface ◽  
Machining Strategies ◽  
The Impact

Nimonic C-263 is predominantly used in the manufacturing of heat susceptible intricate components in the gas turbine, aircraft, and automotive industries. Owing to its high strength, poor thermal conductivity, the superalloy is difficult to machine and causes rapid tool wear during conventional machining mode. Moreover, the unpleasant machining noise produced during machining severely disrupts the tool engineer’s concentration, thereby denying a precise and environment friendly machining operation. Hence, close dimensional accuracy, superior machined surface quality along with production economy, and pleasant work environment for the tool engineers is the need of an hour of the current manufacturing industry. To counter such issues, the present work attempts to compare and explore the machinability of two of the most popular machining strategies like minimum quantity lubrication (MQL) and cryogenic machining process during turning of Nimonic C-263 work piece in order to achieve an ideal machining environment. The machining characteristics are compared in terms of surface roughness (SR), power consumption (P), machining noise (S), nose wear (NW), and cutting forces (CF) to evaluate the impact of machining variables like cutting speed (Vc), feed (f), and depth of cut (ap) with a detailed parametric study and technical justification. Yet again, an investigation is conducted to compare both the machining strategies in terms of qualitative responses like chip morphology, total machining cost, and carbon emissions. The study revealed that cryogenic machining strategy is adequately proficient over MQL machining to deliver energy proficient and gratifying work environment for the tool engineers by reducing the cost of machining and improving their work efficiency.

Secondary Machining Characteristics of Additive Manufactured Titanium Alloy Ti-6Al-4V

2018 ◽  
Vol 779 ◽  
pp. 149-152 ◽  
Author(s):  
Ashwin Polishetty ◽  
Basil Raju ◽  
Guy Littlefair
Keyword(s):  
Titanium Alloy ◽  
Titanium Alloys ◽  
Dimensional Accuracy ◽  
Machining Process ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Wide Range ◽  
Secondary Operations ◽  
Cylindrical Workpiece ◽  
Almost All

Titanium alloy, Ti-6Al-4V is a popular alloy used in wide range of design applications mostly in aerospace and biomedical industry due to its advantageous material properties. This research is based on threading operation in a cylindrical workpiece of Ti-6Al-4V additive manufactured by Selective Laser Melting (SLM) technique. Secondary machining is described as the operations that are performed on the workpiece after a primary machining in order to achieve a required finish and form. Common secondary operations after drilling includes threading, reaming and knurling. Threading is a significant machining process in almost all applications of Titanium alloys. The development of an efficient threading process for Titanium alloys and enhancing existing methods may lead to a wider application of additive manufactured Titanium alloys. The aim of this research is to find out favorable threading conditions for Titanium alloy Ti-6Al-4V to obtain better machinability. Threads are tapped into the workpiece using variable machining parameters such as spindle speed and depth of cut. Statistical data are collected and analyzed by qualitative and quantitative evaluation of the threads. The outputs under consideration to evaluate efficiency of the secondary machining include surface texture (roughness (Ra)), dimensional accuracy (thread geometry) and power required (cutting force).

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