scholarly journals Investigation on Ti-6Al-4V Alloy Surface Characteristics Using Nano Grinding Wheel by Response Surface Methodology (RSM) with Artificial Neural Networking (ANN)

2020 ◽  
Author(s):  
Deborah Serenade Stephen ◽  
Sethuramalingam Prabhu
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Removal Rate ◽  
Research Work ◽  
Surface Characteristics ◽  
Grinding Wheel ◽  
Ti Alloy ◽  
Roughness Prediction ◽  
Artificial Neural

Abstract In this research work, surface characteristics of Ti-6Al-4V alloy have been investigated and the grinding process has been optimized using nano grinding wheel. Experiments have been conducted using L27 full factorial design. Surface roughness prediction model in nano grinding wheel for Ti alloy was developed using Response Surface Methodology (RSM) and compared with the model using Artificial Neural Network (ANN) methodology to predict the experimental behavior of the system. Grinding wheels with and without 3% nano Al2O3 powders were fabricated and their surface characteristics like surface roughness, material removal rate (MRR) and temperature were measured. Grinding was carried out on grade 5 Ti alloy with different wheels by varying input parameters. On comparing experimental and predicted results, it was found that the empirical values of surface roughness were close to the predicted values by 5%.

Parameters Optimization of the Ultrasonic External Cylindrical Lapping Process for Nano ZTA Engineering Ceramics Using Response Surface Methodology

2007 ◽  
Vol 364-366 ◽  
pp. 733-738
Author(s):  
Feng Jiao ◽  
Bo Zhao ◽  
Chuan Shao Liu ◽  
Xun Sheng Zhu
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Parameters Optimization ◽  
Response Models ◽  
Engineering Ceramics ◽  
Surface Response

Aimed at the precision machining characteristics of nano ZTA engineering ceramics external cylindrical components, ultrasonic aided lapping experiments were carried out adopting inhouse developed ultrasonic external cylindrical lapping device with solid abrasive material. To obtain minimum surface roughness with constraint of the material removal rate, response surface methodology (RSM) was adopted to analyze the experimental data, and suitable experiment design was chosen to fit the response surface in this research. Second-order surface response models of surface roughness and material removal rate were developed respectively, and the influence laws of lapping parameters on surface roughness and material removal rate were clarified according to the built models. Finally, parameters optimization of the ultrasonic external cylindrical lapping process for nano ZTA engineering ceramics was realized using surface response methodology.

scholarly journals Intelligent optimization of wire-EDM parameters for surface roughness and material removal rate while machining WC-Co composite

2021 ◽  
Vol 49 (3) ◽  
pp. 756-763
Author(s):  
Kapil Gupta
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Hybrid Technique ◽  
Wire Edm ◽  
Abc Algorithm

This work presents the wire-EDM of WC-Co composite and optimization of process parameters using an integrated technique of response surface methodology (RSM), Vise Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) and artificial bee colony (ABC) algorithm to obtain the best set of machinability indicators. Wire feed (WF), servo voltage (SV), pulse off-time (Pon) and pulse on-time (Poff) are the variable process parameters, whereas root mean square roughness (Rq), average surface roughness (Ra) and material removal rate (MRR) are the machinability indicators considered in the present work. A total of twenty nine experiments have been conducted based on Box Behnken design (BBD) technique of response surface methodology. VIKOR has been used for normalization of responses and followed by solving empirical models using ABC algorithm to obtain optimized process parameters setting. WF-12 m/min, SV-65V, Pon-116 µs, Poff-20 µs are the optimum wire-EDM parameters obtained by intelligent RSM-VIKOR-ABC technique that produced best values of Ra-4.51 µm, Rq-5.64 µm, MRR-0.061 mm3 /min simultaneously. The validation test confirmed an improvement up to 15% in the response characteristics which proved the effectiveness of this novel hybrid technique for optimization. The optimum parameter setting is for ready industrial reference to attain best surface quality and process productivity for WC-Co composite machining by wire-EDM.

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