Machine Learning-Based Erosion Behavior of Silicon Carbide Reinforced Polymer Composites
- PDF / 796,516 Bytes
- 7 Pages / 595.276 x 790.866 pts Page_size
- 55 Downloads / 207 Views
ORIGINAL PAPER
Machine Learning-Based Erosion Behavior of Silicon Carbide Reinforced Polymer Composites Sandeep Singh Kharb 1 & Parvesh Antil 2
&
Sarbjit Singh 1 & Sundeep Kumar Antil 2 & Parveen Sihag 3,4 & Anil Kumar 2
Received: 2 January 2020 / Accepted: 22 April 2020 # Springer Nature B.V. 2020
Abstract The machine learning methodology is gaining immense exposure as a potential methodology for solving and modelling the machining behaviour of advanced materials. The present paper deals with the application of machining learning approach in analyzing and predicting the effect of reinforced silicon carbide (SiC) particle size on the erosion behaviour of silicon carbide reinforced polymer composites. L27 orthogonal array was designed based on Taguchi’s methodology to execute the experiments. Support vector machine (SVM) and multi-linear regression (MLR) approach were coupled with Taguchi’s methodology to validate obtained optimized response characteristics. These machine learning-based SVM and MLR models are adopted to analyze the absurdity among obtained experimental results and predicted response. Out of 27 experimental runs based on experimental design, 19 experimental runs were selected for training models whereas 08 models were selected for the testing phase. Impingement angle, workpiece reinforcement, standoff distance and slurry pressure were used as input process parameters, whereas material loss was observed as response characteristics. The kernel functions, i.e. Pearson VII based universal kernel (PUK) and radial based function (RBF) kernel were used with machine learning models to obtain the best performing machine learning approach in predicting erosion behaviour of polymer composites. Keywords Erosion . Polymer composites . Machine learning . Multi linear regression . Support vector machine . Silicon carbide
1 Introduction The silicon carbide (SiC) reinforced polymer composite materials are widely used in those areas where climatic conditions play a significant role in influencing the performance of materials [1, 2]. These areas are subjected to constant attack of abrasive slurry particles which diminishes the strength of materials by degrading material’s upper surface in operating conditions. The erosion on the surface of components assembled in marine and aerospace application degrades surface by causing wear [3]. During the erosion phenomenon, the impact of * Parvesh Antil [email protected] 1
Punjab Engineering College, Chandigarh 160012, India
2
College of Agricultural Engineering & Technology, CCS HAU Hisar, Hisar, Haryana 125004, India
3
National Institute of Technology, Kurukshetra, Kurukshetra, Haryana 136119, India
4
Shoolini University, Solan, Himachal Pradesh 173229, India
abrasive particles initiates tiny cracks over the material surface, which leads to substantial material loss. The presence of solid erosion particles in the environment causes surface degradation of the component of aircraft made up of polymeric materials [4]. The surface damage due to erosion has em
Data Loading...
