The main aim of this work is to minimize the surface roughness in the flat lapping of EN8 material. The process variables considered for the study were lapping time, abrasive size and abrasive carrier oil proportion. The mathematical model related to the lapping such as surface finish model, stress model and its significance was understood. The (L9) orthogonal array in Taguchi method was utilized to conduct the experiments and surface roughness values were measured. The significance of each process variable on the surface roughness was studied using S/N ratio results. From the results, it was inferred that most influence factor among process variables is abrasive carrier oil proposition in slurry. Response table showed a delta value of 0.1967 for the abrasive carrier oil proposition in slurry. The optimum combination of process variables was determined based on S/N ratio and it was understood that minimum aluminum oxide abrasive proportion in slurry provides better surface quality in lapping of EN8 material. The optimum combination for minimum surface roughness were 15 minutes lapping time, 80 µm abrasive size and 1:3 abrasive carrier oil proportion in slurry.
Published in | Engineering Mathematics (Volume 2, Issue 1) |
DOI | 10.11648/j.engmath.20180201.15 |
Page(s) | 50-55 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2018. Published by Science Publishing Group |
Lapping, Surface Roughness, Taguchi Method, S/N Ratio
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APA Style
Rajesh Ramadass, Saravanan Sambasivam. (2018). Process Variables Optimization in Lapping of EN8 Material Using Taguchi Method. Engineering Mathematics, 2(1), 50-55. https://doi.org/10.11648/j.engmath.20180201.15
ACS Style
Rajesh Ramadass; Saravanan Sambasivam. Process Variables Optimization in Lapping of EN8 Material Using Taguchi Method. Eng. Math. 2018, 2(1), 50-55. doi: 10.11648/j.engmath.20180201.15
AMA Style
Rajesh Ramadass, Saravanan Sambasivam. Process Variables Optimization in Lapping of EN8 Material Using Taguchi Method. Eng Math. 2018;2(1):50-55. doi: 10.11648/j.engmath.20180201.15
@article{10.11648/j.engmath.20180201.15, author = {Rajesh Ramadass and Saravanan Sambasivam}, title = {Process Variables Optimization in Lapping of EN8 Material Using Taguchi Method}, journal = {Engineering Mathematics}, volume = {2}, number = {1}, pages = {50-55}, doi = {10.11648/j.engmath.20180201.15}, url = {https://doi.org/10.11648/j.engmath.20180201.15}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.engmath.20180201.15}, abstract = {The main aim of this work is to minimize the surface roughness in the flat lapping of EN8 material. The process variables considered for the study were lapping time, abrasive size and abrasive carrier oil proportion. The mathematical model related to the lapping such as surface finish model, stress model and its significance was understood. The (L9) orthogonal array in Taguchi method was utilized to conduct the experiments and surface roughness values were measured. The significance of each process variable on the surface roughness was studied using S/N ratio results. From the results, it was inferred that most influence factor among process variables is abrasive carrier oil proposition in slurry. Response table showed a delta value of 0.1967 for the abrasive carrier oil proposition in slurry. The optimum combination of process variables was determined based on S/N ratio and it was understood that minimum aluminum oxide abrasive proportion in slurry provides better surface quality in lapping of EN8 material. The optimum combination for minimum surface roughness were 15 minutes lapping time, 80 µm abrasive size and 1:3 abrasive carrier oil proportion in slurry.}, year = {2018} }
TY - JOUR T1 - Process Variables Optimization in Lapping of EN8 Material Using Taguchi Method AU - Rajesh Ramadass AU - Saravanan Sambasivam Y1 - 2018/09/12 PY - 2018 N1 - https://doi.org/10.11648/j.engmath.20180201.15 DO - 10.11648/j.engmath.20180201.15 T2 - Engineering Mathematics JF - Engineering Mathematics JO - Engineering Mathematics SP - 50 EP - 55 PB - Science Publishing Group SN - 2640-088X UR - https://doi.org/10.11648/j.engmath.20180201.15 AB - The main aim of this work is to minimize the surface roughness in the flat lapping of EN8 material. The process variables considered for the study were lapping time, abrasive size and abrasive carrier oil proportion. The mathematical model related to the lapping such as surface finish model, stress model and its significance was understood. The (L9) orthogonal array in Taguchi method was utilized to conduct the experiments and surface roughness values were measured. The significance of each process variable on the surface roughness was studied using S/N ratio results. From the results, it was inferred that most influence factor among process variables is abrasive carrier oil proposition in slurry. Response table showed a delta value of 0.1967 for the abrasive carrier oil proposition in slurry. The optimum combination of process variables was determined based on S/N ratio and it was understood that minimum aluminum oxide abrasive proportion in slurry provides better surface quality in lapping of EN8 material. The optimum combination for minimum surface roughness were 15 minutes lapping time, 80 µm abrasive size and 1:3 abrasive carrier oil proportion in slurry. VL - 2 IS - 1 ER -