scholarly journals Parametric Studies of Abrasive Waterjet Machining parameters on Al/LaPO4 using Response Surface Method

2020 ◽  
Vol 988 ◽  
pp. 012018
Author(s):  
T Deepthi ◽  
K Balamurugan ◽  
P Balamurugan
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Abrasive Waterjet ◽  
Machining Parameters ◽  
Abrasive Waterjet Machining ◽  
Surface Method ◽  
Waterjet Machining ◽  
Parametric Studies

Effect of Abrasive Waterjet Machining Parameters on Hybrid AA6061-B4C- CNT Composites

2018 ◽  
Vol 5 (5) ◽  
pp. 13438-13450 ◽  
Author(s):  
A. Gnanavelbabu ◽  
P. Saravanan ◽  
K. Rajkumar ◽  
S. Karthikeyan ◽  
R. Baskaran
Keyword(s):  
Abrasive Waterjet ◽  
Machining Parameters ◽  
Abrasive Waterjet Machining ◽  
Waterjet Machining

Optimization of Machining Parameters on Surface Roughness in EDM of Ti-6Al-4V Using Response Surface Method

2011 ◽  
Vol 213 ◽  
pp. 402-408 ◽  
Author(s):  
M.M. Rahman ◽  
Md. Ashikur Rahman Khan ◽  
M.M. Noor ◽  
K. Kadirgama ◽  
Rosli A. Bakar
Keyword(s):  
Surface Roughness ◽  
Response Surface ◽  
Response Surface Method ◽  
Surface Finish ◽  
Machining Parameters ◽  
Surface Method ◽  
Superior Surface ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time

This paper presents the influence of EDM parameters in terms of peak ampere, pulse on time and pulse off time on surface roughness of titanium alloy (Ti-6Al-4V). A mathematical model for surface finish is developed using response surface method (RSM) and optimum machining setting in favor of surface finish are evaluated. Design of experiments (DOE) techniques is implemented. Analysis of variance (ANOVA) has been performed to verify the fit and adequacy of the developed mathematical models. The acquired results yield that the increasing pulse on time causes fine surface till a certain value and then deteriorates the surface finish. It is investigated that about 200 µs pulse off time produce superior surface finish. These results lead to desirable surface roughness and economical industrial machining by optimizing the input parameters.

scholarly journals Multi-Objective Optimization of AWJM of Lead Tin Alloy by GRA

2019 ◽  
Vol 8 (2S3) ◽  
pp. 72-83
Keyword(s):  
Machining Process ◽  
Abrasive Waterjet ◽  
Machining Parameters ◽  
Grey Relation Analysis ◽  
Relational Analysis ◽  
Abrasive Waterjet Machining ◽  
Waterjet Machining ◽  
Single Response ◽  
Grey Relational ◽  
Grey Relation

Last decades have witnessed a rapid growth in the development of harder, difficult and complexity to machine metals and alloys. AWJM is one of the most freshly built up non traditional machining in processing various types of hard-to-cut materials nowadays. It is an economical method for heat sensitive materials that cannot be machined by processes that produce heat while machining. Machining parameters play the lead position in bringing out the machine economics and machining quality. This research examines the persuading and parametric optimization of five parameters of the process for Abrasive water jet machining of Lead Tin alloy involving grey relation analysis. Depending upon RSM various sets of research have been performed on this element by changeable five different parameters on MRR and SR. ANOVA has been carried out to recognize the noteworthy parameters which affect toughness of abrasive waterjet machining process. The consequence of the experiments for best possible setting proves that there is extensive development in the process. The main objective of grey relational analysis is to translate the multi response variable in to a single response grade

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