Lattice Structure Optimization of ۳D Printed TPMS under Different Loading Conditions Using Regression Machine Learning

سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 36

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شناسه ملی سند علمی:

JR_MACS-12-3_011

تاریخ نمایه سازی: 2 تیر 1404

چکیده مقاله:

Modern manufacturing techniques have been significantly transformed by additive manufacturing (AM). Because of its capabilities like customized part manufacturing and, the ability to manufacture intricate and complex parts with reduced waste of material, additive manufacturing is becoming more popular. However, the properties of the parts manufactured by this method significantly vary with the variation in process parameters. Optimizing these parameters helps to extract enhanced mechanical properties. In addition, lattice structures have created new possibilities for increasing strength while lowering part weight through optimized lattice structures. The effect of lattice structure and process parameters on the specimen made using the fused deposition method (FDM) is the major focus of this study. In this work, three distinct TPMS-base (Triply Periodic Minimal Surfaces) lattice architectures are examined for a range of layer height levels. Investigations are conducted using the L۹ orthogonal array. The FDM technique uses PLA plastic filament. The Taguchi method was used for optimization, and samples were evaluated on the UTM and Izod impact testing machines. Moreover, an ML model is created by applying machine learning to the collected data. In tensile and impact test data, neural network and Gaussian process regression models showed low error rates and predicted good accuracy. The neural network model for the flexural test data showed a moderate level of accuracy, suggesting potential for improvement. The models' performance was highlighted by their low RMSE, MSE, and MAE values, which show that they can predict material properties. The overall findings indicated that layer height has less impact on tensile and flexural strength than lattice structure. In contrast to the lattice structure, layer height influences the toughness.

نویسندگان

Rakesh Motgi

Department of Mechanical Engineering, A. G. Patil Polytechnic Institute, Solapur, ۴۱۳۰۰۸, Maharashtra. India

Vijay Kumar Jatti

Department of Mechanical Engineering, Bennett University, ۲۰۱۳۱۰, Greater Noida India

Shahid Tamboli

Department of Mechanical Engineering, Symbiosis Institute of Technology, Symbiosis International University, Pune, ۴۱۲۱۱۵, Maharashtra. India

Javed Dhalait

Department of Mechanical Engineering, A. G. Patil Polytechnic Institute, Solapur, ۴۱۳۰۰۸, Maharashtra. India

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  • Tang, C., Liu, J., Yang, Y., Liu, Y., Jiang, S. ...
  • Md Mazedur Rahman, Sultana, J., Saiaf Bin Rayhan and Ahmed, ...
  • Mani, M., Karthikeyan, A.G., Kalaiselvan, K., Muthusamy, P. and Muruganandhan, ...
  • Jing, S., Li, W., Ma, G., Cao, X., Zhang, L., ...
  • Doodi, R. and Gunji, B.M., ۲۰۲۳. Prediction and experimental validation ...
  • Namvar, N., Moloukzadeh, I., Zolfagharian, A., Demoly, F. and Bodaghi, ...
  • Harish, A., Alsaleh, N.A., Mahmoud Ahmadein, Elfar, A.A., Djuansjah, J., ...
  • Fongsamootr, T., Thawon, I., Tippayawong, N., Tippayawong, K.Y. and Suttakul, ...
  • Barbosa, W.S., Gioia, M.M., Temporão, G.P., Meggiolaro, M.A. and Gouvea, ...
  • Li, B. and Shen, C., ۲۰۲۲. Solid Stress-Distribution-Oriented Design and ...
  • Shevchenko, V., Balabanov, S., Sychov, M. and Karimova, L., ۲۰۲۳. ...
  • Libonati, F., Graziosi, S., Ballo, F., Mognato, M. and Sala, ...
  • Bogusz, P., Popławski, A., Stankiewicz, M. and Kowalski, B., ۲۰۲۲. ...
  • Tkac, J., Samborski, S., Monkova, K. and Debski, H., ۲۰۲۰. ...
  • Alarifi, I.M., ۲۰۲۳. Mechanical properties and numerical simulation of FDM ...
  • Sombatmai, A., Tapracharoen, K., Uthaisangsuk, V., Msolli, S. and Promoppatum, ...
  • Almesmari, A., Sheikh-Ahmad, J., Jarrar, F. and Bojanampati, S., ۲۰۲۳. ...
  • Alarifi, I.M., ۲۰۲۳. PETG/carbon fiber composites with different structures produced ...
  • Perween, S., Fahad, M. and Khan, M.A., ۲۰۲۱. Systematic Experimental ...
  • Güdür, C., Türkoğlu, T. and Eren, İ., ۲۰۲۳. Effect of ...
  • Higuera, S., Miralbes, R. and Ranz, D., ۲۰۲۱. Mechanical properties ...
  • Kumar, A., Verma, S. and Jeng, J.-Y., ۲۰۲۰. Supportless Lattice ...
  • Alemayehu, D.B. and Todoh, M., ۲۰۲۴. Enhanced Energy Absorption with ...
  • Liu, T., Zhao, W., Yao, Y., Lin, C., Zhao, H. ...
  • Viswanath, A., Khalil, M., Khan, A., Fahad Al Maskari, Cantwell, ...
  • Alkhatib, S.E., Xu, S., Lu, G., Karrech, A. and Sercombe, ...
  • Razi, S.S., Pervaiz, S., Susantyoko, R.A. and Alyammahi, M., ۲۰۲۴. ...
  • Ursini, C. and Collini, L., ۲۰۲۱. FDM Layering Deposition Effects ...
  • Xue, Y., Gao, P., Zhou, L. and Han, F., ۲۰۲۰. ...
  • Qin, D., Sang, L., Zhang, Z., Lai, S. and Zhao, ...
  • Antony, S., Cherouat, A. and Montay, G., ۲۰۲۰. Fabrication and ...
  • Abusabir, A., Khan, M.A., Asif, M. and Khan, K.A., ۲۰۲۲. ...
  • Beloshenko, V., Beygelzimer, Y., Chishko, V., Savchenko, B., Sova, N., ...
  • Shu-Yu Jhou, Hsu, C.-C. and Yeh, J.-C., ۲۰۲۱. The Dynamic ...
  • Yan, L., Zhu, K., Zhang, Y., Zhang, C. and Zheng, ...
  • Choudhry, N.K., Panda, B. and Dixit, U.S., ۲۰۲۳. Energy Absorption ...
  • Buican, G.R., Zaharia, S.-M., Pop, M.A., Chicos, L.-A., Lancea, C., ...
  • He, Q., Hou, Y., Li, X., Li, S. and Meng, ...
  • Ahmed, A.M.R.M., Mahdi, E., Oosterhuis, K., Dean, A. and Cabibihan, ...
  • Peloquin, J., Kirillova, A., Rudin, C., L. Catherine Brinson and ...
  • Poddar, P., Olles, M. and Cormier, D., ۲۰۲۲. Mechanical Response ...
  • Challapalli, A. and Li, G., ۲۰۲۱. Machine learning assisted design ...
  • Santiago, R., Ramos, H., AlMahri, S., Banabila, O., Haleimah Alabdouli, ...
  • Sharma, P., Vaid, H., Vajpeyi, R., Shubham, P., Agarwal, K.M. ...
  • Jayasudha, M., Elangovan, M., Mahdal, M. and Priyadarshini, J., ۲۰۲۲. ...
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