AWJM Performance of jute/polyester composite using MOORA and analytical models

ABSTRACT This work addresses the machinability performance of jute/polyester composites with variable laminate thickness using Abrasive water jet machining (AWJM) process. A hybrid objective function was developed using surface roughness (Ra) and kerf taper angle (Ta) and studied using a cost-effective Multi Objective Optimization by Ratio Analysis named as MOORA. The influence of machining parameters such as hydraulic pressure (P), feed rate (Vf) and standoff distance (Sd) on quality characteristics were considered for this analysis. Among all, Vf was found to be a strong influencing factor on Ta and Ra. The deviation in the magnitude of Ta and Ra was observed in the case of varying laminate thicknesses without affecting the optimum condition. Besides, a mathematical regression model was developed for both Ta and Ra based on the correlation between the dependent variables. Furthermore, two other models of Ra available in the literature were considered for comparison with experimental results. The results revealed the suitability of these models for the polymer-based fiber-reinforced composite materials, but limited to the maximum thickness of 3 mm. The good agreement of the models with two different sets of experimental values was also found.

[1]  Chuanzhen Huang,et al.  Radial-mode abrasive waterjet turning of short carbon–fiber-reinforced plastics , 2016 .

[2]  A. Clare,et al.  Soluble Abrasives for Waterjet Machining , 2014 .

[3]  M. Brandt,et al.  Comparative study of jetting machining technologies over laser machining technology for cutting composite materials , 2002 .

[4]  MILOŠ MADIĆ,et al.  NON-CONVENTIONAL MACHINING PROCESSES SELECTION USING MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS METHOD , 2015 .

[5]  Mustafa Ay,et al.  Effect of Traverse Speed on Abrasive Waterjet Machining of Age Hardened Inconel 718 Nickel-Based Superalloy , 2010 .

[6]  Fritz Klocke,et al.  Abrasive machining of advanced aerospace alloys and composites , 2015 .

[7]  Md. Mohafizul Haque,et al.  Performance of different abrasive materials during abrasive water jet machining of glass , 2007 .

[8]  M. Pradeep Kumar,et al.  Multiresponse Optimization of Abrasive Water Jet Cutting Process Parameters Using TOPSIS Approach , 2015 .

[9]  A. Kumar,et al.  Machinablity of Hybrid Natural Fiber Composite with and without Filler as Reinforcement , 2016 .

[10]  Pedro Paulo Balestrassi,et al.  Multi-objective optimization of pulsed gas metal arc welding process based on weighted principal component scores , 2010 .

[11]  Jun Wang,et al.  A machinability study of polymer matrix composites using abrasive waterjet cutting technology , 1999 .

[12]  Edmundas Kazimieras Zavadskas,et al.  Robustness of MULTIMOORA: A Method for Multi-Objective Optimization , 2012, Informatica.

[13]  Willem K. Brauers,et al.  Optimization Methods for a Stakeholder Society: A Revolution in Economic Thinking by Multi-objective Optimization , 2003 .

[14]  Syed H. Masood,et al.  An investigation on kerf characteristics in abrasive waterjet cutting of layered composites , 2009 .

[15]  Heng Tao Shen,et al.  Principal Component Analysis , 2009, Encyclopedia of Biometrics.

[16]  R. Venkata Rao,et al.  Optimization of modern machining processes using advanced optimization techniques: a review , 2014 .

[17]  Gokhan Aydin,et al.  An Experimental Study on the Depth of Cut of Granite in Abrasive Waterjet Cutting , 2012 .

[18]  Shailendra Kumar,et al.  An experimental investigation on cutting performance of abrasive water jet machining of austenite steel (AISI 316L) , 2015 .

[19]  N. Muthukrishnan,et al.  Investigation on Surface Roughness in Abrasive Water-Jet Machining by the Response Surface Method , 2014 .

[20]  Amimul Ahsan,et al.  Investigation on glass/epoxy composite surfaces machined by abrasive water jet machining , 2008 .

[21]  Radovan Kovacevic,et al.  On-line analysis of hydro-abrasive erosion of pre-cracked materials by acoustic emission , 1999 .

[22]  Sandeep Grover,et al.  Decision making over the production system life cycle: MOORA method , 2014, Int. J. Syst. Assur. Eng. Manag..

[23]  Richard A. Johnson.  Miller & Freund's Probability and Statistics for Engineers , 1993 .

[24]  N. Arunkumar,et al.  Investigation on performance of abrasive water jet in machining hybrid composites , 2017 .

[25]  M. Uthayakumar,et al.  Machinability of Nickel-Based Superalloy by Abrasive Water Jet Machining , 2016 .

[26]  Janet Folkes,et al.  Waterjet—An innovative tool for manufacturing , 2009 .

[27]  Fuat Kartal,et al.  A review of the current state of abrasive water-jet turning machining method , 2017 .

[28]  Neelesh Kumar Jain,et al.  Optimization of process parameters of mechanical type advanced machining processes using genetic algorithms , 2007 .

[29]  H. Hotelling.  Analysis of a complex of statistical variables into principal components. , 1933 .

[30]  M. Kumar,et al.  Surface integrity studies on abrasive water jet cutting of AISI D2 steel , 2017 .

[31]  A. Shaikh,et al.  A Review on Machining of Fiber Reinforced Plastic using Abrasive Waterjet , 2013 .

[32]  S. Kumanan,et al.  Multi-performance optimization of abrasive water jet machining of Inconel 617 using WPCA , 2017 .

[33]  S. Abrate,et al.  Machining of composite materials. Part II: Non-traditional methods , 1992 .

[34]  E. Zavadskas,et al.  Robustness of the multi‐objective MOORA method with a test for the facilities sector , 2009 .

[35]  Shankar Chakraborty,et al.  Applications of the MOORA method for decision making in manufacturing environment , 2011 .

[36]  Willem K. Brauers,et al.  Optimization Methods for a Stakeholder Society: A Revolution in Economic Thinking by Multi-objective Optimization , 2003 .

[37]  Saurav Datta,et al.  Application of PCA-based hybrid Taguchi method for correlated multicriteria optimization of submerged arc weld: a case study , 2009 .

[38]  Thai Nguyen,et al.  A study of delamination on graphite/epoxy composites in abrasive waterjet machining , 2008 .