1(1), (2022):48-54. DOI: https://doi.org/10.46632/jame/1/1/8
A.K. Ratheesh, M. Ramachandran, Manjula Selvam Kurinjimalar Ramu.
Drilling processes in fiber-reinforced polymer composites Composite structures are essential for assembly and fabrication of parts. The economic impact of rejecting the drilled area, when reaching the assembly stage It is important to consider the associated loss. Therefore, the motivations in drilling E-Class Fiber Reinforced Epoxy (GFRE) composites, this explains cutting conditions on torque and wear Feed, speed and pre-drill wear values. Four feeds (0.056, 0.112, 0.22, 0.315, 0.45 mm/rev) and three speeds (6.41, 12.71, 20.25, 32.03, and 50.63 m/min) and five pre-drill wear values and Four artificially introduced wears) were used. Values; W = 7, 19, 26, 34 All samples are 8 mm diameter holes Drilled using a cemented carbide drill bit. Current In work, Multi-linear Regression models were used were used, Parameters of mechanical properties are related to: Thrust, torsion, peel-up, delamination, push-out delamination, Drill wear and machining parameters such as surface roughness before: feed and speed. Perforated model has high resolution; Scanning is done using flatbed color scanner, then to estimate the delamination factor, Image analysis was performed using Corel DRAW software. Multi-variable regression analysis significant coefficients of each variable, contribution is made to promotion and elimination. Laminate thickness on torque and displacement factor the results illustrate that there are significant effects. Cronbach’s alpha value for the model is 0.924.
Shalwan, Abdullah, Talal Alsaeed, and Belal Yousif. “Machinability of Polymeric Composites and Future Reinforcements—A Review.” Journal of Materials Science and Chemical Engineering 10, no. 5 (2022): 40-72.
Khashaba, U. A., I. A. El-Sonbaty, A. I. Selmy, and A. A. Megahed. “Machinability analysis in drilling woven GFR/epoxy composites: Part I–Effect of machining parameters.” Composites Part A: Applied Science and Manufacturing 41, no. 3 (2010): 391-400.
Pathan, M. V., S. A. Ponnusami, J. Pathan, R. Pitisongsawat, B. Erice, N. Petrinic, and V. L. Tagarielli. “Predictions of the mechanical properties of unidirectional fibre composites by supervised machine learning.” Scientific reports 9, no. 1 (2019): 1-10.
Khashaba, U. A., I. A. El-Sonbaty, A. I. Selmy, and A. A. Megahed. “Machinability analysis in drilling woven GFR/epoxy composites: Part I–Effect of machining parameters.” Composites Part A: Applied Science and Manufacturing 41, no. 3 (2010): 391-400.
Jayalakshmi VA, M. Ramachandran, Vimala Saravanan, Ashwini Murugan, “A Review on Forecasting Exchange Rate and Volatile Using SPSS Analysis”, REST Journal on Data Analytics and Artificial Intelligence, 1(3), (2022):9-18.
Sacco, Christopher, Anis Baz Radwan, Andrew Anderson, Ramy Harik, and Elizabeth Gregory. “Machine learning in composites manufacturing: A case study of Automated Fiber Placement inspection.” Composite Structures 250 (2020): 112514.
Khashaba, U. A., I. A. El-Sonbaty, A. I. Selmy, and A. A. Megahed. “Drilling analysis of woven glass fiber-reinforced/epoxy composites.” Journal of composite materials 47, no. 2 (2013): 191-205.
Ravindran, M Ramachandran, Chinnasami Sivaji, Manjula Selvam, “Consumer Attitude towards ‘Online Food Ordering ‘: An Empirical Study”, REST Journal on Data Analytics and Artificial Intelligence, 1(3), (2022):19-26.
Marani, Afshin, and Moncef L. Nehdi. “Machine learning prediction of compressive strength for phase change materials integrated cementitious composites.” Construction and Building Materials 265 (2020): 120286.
Rao, B. Srinivasa, R. Rudramoorthy, S. Srinivas, and B. Nageswara Rao. “Effect of drilling induced damage on notched tensile and pin bearing strengths of woven GFR-epoxy composites.” Materials Science and Engineering: A 472, no. 1-2 (2008): 347-352.
Janaki Priya, M Ramachandran, Kurinjimalar Ramu, Malarvizhi Mani, “Social Media Communication Using TOPSIS Method”, Social Media Communication Using TOPSIS Method, 1(3), (2022):27-35.
Cho, Sung-Kyum, Hyun-Jun Kim, and Seung-Hwan Chang. “The application of polymer composites to the table-top machine tool components for higher stiffness and reduced weight.” Composite Structures 93, no. 2 (2011): 492-501.
Parameshwaranpillai, T., P. R. Lakshminarayanan, and B. Nageswara Rao. “Taguchi’s Approach to Examine the Effect of Drilling Induced Damage on the Notched Tensile Strength of Woven GFR–epoxy Composites.” Advanced Composite Materials 20, no. 3 (2011): 261-275.
S Ramesh, M. Ramachandran, Vimala Saravanan, Prabakaran Nanjundan, “Evaluation of Employee performance management using VIKOR Method”, REST Journal on Data Analytics and Artificial Intelligence, 1(4), (2022):10-17.
Huang, J. S., J. X. Liew, and K. M. Liew. “Data-driven machine learning approach for exploring and assessing mechanical properties of carbon nanotube-reinforced cement composites.” Composite Structures 267 (2021): 113917.
Chinnasami Sivaji, P.K.Chidambaram, M. Ramachandran, Ashwini Murugan, “Performance Analysis of Facade Materials using VIKOR Method”, REST Journal on Advances in Mechanical Engineering, 1(2), (2022):41-49.
Matos, Miguel AS, Silvestre T. Pinho, and Vito L. Tagarielli. “Application of machine learning to predict the multiaxial strain-sensing response of CNT-polymer composites.” Carbon 146 (2019): 265-275.
El-Sonbaty, I., U. A. Khashaba, and T. Machaly. “Factors affecting the machinability of GFR/epoxy composites.” Composite structures 63, no. 3-4 (2004): 329-338.
Krishna Kumar TP, M. Ramachandran, Chinnasami Sivaji, Chandrasakar Raja, ” Financing practices of Micro and Small Entrepreneurs using WSM MCDM Method”, REST Journal on Data Analytics and Artificial Intelligence, 1(4), (2022):18-25.
Muir, C., B. Swaminathan, A. S. Almansour, K. Sevener, C. Smith, M. Presby, J. D. Kiser, T. M. Pollock, and S. Daly. “Damage mechanism identification in composites via machine learning and acoustic emission.” npj Computational Materials 7, no. 1 (2021): 95.
Khashaba, U. A., I. A. El-Sonbaty, A. I. Selmy, and A. A. Megahed. “Machinability analysis in drilling woven GFR/epoxy composites: Part I–Effect of machining parameters.” Composites Part A: Applied Science and Manufacturing 41, no. 3 (2010): 391-400.
Khashaba, Usama A., Mohamed S. Abd-Elwahed, Khaled I. Ahmed, Ismail Najjar, Ammar Melaibari, and Mohamed A. Eltaher. “Analysis of the machinability of GFRE composites in drilling processes.” Steel Compos. Struct 36, no. 4 (2020): 417-426.
Chandran Subramani, M. Ramachandran, Chinnasami Sivaji, Kurinjimalar Ramu , “Environmental Impact Assessment of Using Decision Making trial and Evaluation Laboratory (DEMATEL) Method”, Journal on Materials and its Characterization, 1(1), (2022):6-16.
Marani, Afshin, and Moncef L. Nehdi. “Machine learning prediction of compressive strength for phase change materials integrated cementitious composites.” Construction and Building Materials 265 (2020): 120286.
Amol Lokhande, M. Ramachandran, Chinnasami Sivaji, Manjula Selvam, “A Study on GFRP Drilling Composites Using SPSS Statistical Analysis”, REST Journal on Advances in Mechanical Engineering, 1(3), (2022):1-6.
Yazman, Şakir. “The effects of back-up on drilling machinability of filament wound GFRP composite pipes: Mechanical characterization and drilling tests.” Journal of Manufacturing Processes 68 (2021): 1535-1552.
Khashaba, U. A., A. I. Selmy, I. A. El-Sonbaty, and M. Megahed. “Behavior of notched and unnotched [0/±30/±60/90] s GFR/EPOXY composites under static and fatigue loads.” Composite structures 81, no. 4 (2007): 606-613.
Zobeiry, Navid, Johannes Reiner, and Reza Vaziri. “Theory-guided machine learning for damage characterization of composites.” Composite Structures 246 (2020): 112407.
Sarveshwar Kasarla, Vimala Saravanan, Vidhya Prasanth, Manjula Selvam, “The Influence of Thermoelectric Properties of Nanomaterial and Applications”, Journal on Materials and its Characterization, 1(1), (2022):1-5.
Koumoulos, Elias, George Konstantopoulos, and Costas Charitidis. “Applying machine learning to nanoindentation data of (nano-) enhanced composites.” Fibers 8, no. 1 (2019): 3.
Krope, J., A. Ghani Olabi, D. Goričanec, and S. Božičnik. “Assessment of Optimal Drilling Parameter for Bamboo Filler Reinforced Epoxy Composite.” In 10TH International Conference on Sustainable Energy and Environmental Protection Mechanical Engineering, p. 101. 2017.
Sun, Junbo, Yongzhi Ma, Jianxin Li, Junfei Zhang, Zhenhua Ren, and Xiangyu Wang. “Machine learning-aided design and prediction of cementitious composites containing graphite and slag powder.” Journal of Building Engineering 43 (2021): 102544.
A.K. Ratheesh, M. Ramachandran, Manjula Selvam Kurinjimalar Ramu, “Effect of Drill Attrition on Machinability in Drilling Woven GFR Epoxy Composites”,REST Journal on Advances in Mechanical Engineering, 1(1), (2022):48-54.