This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Application of Response Surface Method to Optimize Waterjet Cutting Process Parameter of Glass Fiber Reinforced Polymer Matrix Laminates
Technical Paper
2019-28-0153
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
Waterjet machining is a widely used advanced machining technique because of its versatility in removal of material for a wider range of materials. Waterjet machining is particularly advantageous in the precise cutting of advanced materials like Fiber Reinforced Polymers (FRPs) comparative to conventional machining methods. The conventional machining methods result in the release of high amount of glass fiber dust which leaves the work environment unsafe for the workers. The material dust if inhaled can lead to acute respiratory diseases. In this work an analysis was done on the cutting performance of Waterjet machining and is presented based on an experimental investigation on fabricated fiberglass reinforced laminates. It is shown that with a good combination of cutting parameters such as nozzle traverse speed, waterjet pressure, and Stand-off distance a cutting performance can be achieved. Plausible trends of kerf quality and machining time with respect to the waterjet pressure, nozzle traverse speed and nozzle stand-off distance are analysed. The surface roughness and machining time has been optimized using DOE techniques for achieving proper machining characteristics and faster completion of the work. An experimental study of WJM of Glass epoxy composite to improve kerf properties is presented. The RSM a well-renowned technique is used to optimize the process parameters.
Authors
Citation
Aulakh, S., Patil, D., Elsen, R., and Aggarwal, S., "Application of Response Surface Method to Optimize Waterjet Cutting Process Parameter of Glass Fiber Reinforced Polymer Matrix Laminates," SAE Technical Paper 2019-28-0153, 2019, https://doi.org/10.4271/2019-28-0153.Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| Unnamed Dataset 1 | ||
| Unnamed Dataset 2 | ||
| Unnamed Dataset 3 | ||
| Unnamed Dataset 4 | ||
| Unnamed Dataset 5 | ||
| Unnamed Dataset 6 |
Also In
References
- Iftimie , N. , Steigmann , R. , and Vizureanu , P. Dagmar Faktorova and Adriana Savin Electromagnetic Sensors for Improvement of Damage Detection in Composite Materials Reinforced with Carbon Woven Fibers Switzerland Trans Tech Publications 2015
- Azmir , M.A. and Ahsan , A.K. Investigation on Glass/Epoxy Composite Surfaces Machined by Abrasive Water Jet Machining Journal of Materials Processing Technology 198 122 128 2008
- Dhanawade , A. , Kumar , S. , and Kalmekar , R.V. Abrasive Water Jet Machining of Carbon Epoxy Defence Science Journal 66 5 September 2016
- https://www.kmt-waterjet.com/PDF/KMT_technology%20description_ENG_101019.pdf
- Siddiqui , T.U. and Shukla , M. Optimisation of Surface Finish in Abrasive Water Jet Cutting of Kevlar Composites Using Hybrid Taguchi and Response Surface Method Int. J. Machining and Machinability of Materials 3 3/4 2008
- Dhanawade , A. and Kumar , S. Study on Carbon Epoxy Composite Surfaces Machined by Abrasive Water Jet Machining Journal of Composite Materials 1 16
- Ming Ming , I.W. , Azmi , A.I. , Chuan , L.C. , and Mansor , A.F. Experimental Study and Empirical Analyses of Abrasive Waterjet Machining for Hybrid Carbon/Glass Fiber-Reinforced Composites for Improved Surface Quality The International Journal of Advanced Manufacturing Technology https://doi.org/10.1007/s00170-017-1465-9
- Madhu , S. and Balasubramanian , M. 2018
- Elsen , S.R. , Dhamodaran , K. , and Aseer , J.R. Multi-Objective Optimization of End Milling Process Parameter for Stir Casted Alumina Reinforced Aluminium Metal Matrix Composite Using RSM IOP Conf. Series: Materials Science and Engineering 402 012193 2018 10.1088/1757-899X/402/1/012193
- Bhowmik , S. and Ray , A. Prediction and Optimization of Process Parameters of Green Composites in AWJM Process Using Response Surface Methodology The International Journal of Advanced Manufacturing Technology 87 5-8 1359 1370 2016
- Azmi , A.I. , Lin , R.J.T. , and Bhattacharyya , D. Experimental Study of Machinability of GFRP Composites by End Milling Materials and Manufacturing Processes 27 10 1045 1050 2012
- Haddad , M. et al. Study of Trimming Damages of CFRP Structures in Function of the Machining Processes and Their Impact on the Mechanical Behavior Composites Part B: Engineering 57 136 143 2014
- Ramulu , M. and Arola , D. The Influence of Abrasive Waterjet Cutting Conditions on the Surface Quality of Graphite/Epoxy Laminates International Journal of Machine Tools and Manufacture 34 3 295 313 1994
- Box , G.E.P. and Behnken , D.W. Some New Three Level Designs for the Sudy of Quantitative Variables Technometrics 2 4 455 475 1960
- Keselman , H.J. et al. Statistical Practices of Educational Researchers: An Analysis of their ANOVA, MANOVA, and ANCOVA Analyses Review of Educational Research 68 3 350 386 1998
- Ibraheem , H.M.A. , Iqbal , A. , and Hashemipour , M. Numerical Optimization of Hole Making in GFRP Composite Using Abrasive Water Jet Machining Process Journal of the Chinese Institute of Engineers 38 1 66 76 2015
- Doreswamy , D. et al. An Investigation of Abrasive Water Jet Machining on Graphite/Glass/Epoxy Composite International Journal of Manufacturing Engineering 2015
- Şahin , S. et al. Effect of Drying Method on Oleuropein, Total Phenolic Content, Flavonoid Content, and Antioxidant Activity of Olive (Olea europaea) leaf Journal of Food Processing and Preservation 42 5 e13604 2018
- Sktani , Z.D.I. et al. Fabrication of Tougher ZTA Ceramics with Sustainable High Hardness through (RSM) Optimisation International Journal of Refractory Metals and Hard Materials 74 78 86 2018
- Şahin , S. , İlbay , Z. , and Kırbaşlar , Ş.İ. Pulsed Ultrasound-Assisted Extraction of Natural Antioxidants from Mandarin (Citrus deliciosa Tenore) Leaves: Experimental and Modelling Study Chemical Engineering Communications 205 6 717 726 2018
- Saravanakumar , D. , Mohan , B. , and Muthuramalingam , T. Application of Response Surface Methodology on Finding Influencing Parameters in Servo Pneumatic System Measurement 54 40 50 August 2014 10.1016/j.measurement.2014.04.017