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Deep Learning Based Stress Prediction for Bottom-Up Stereo-Lithography (SLA) 3D Printing Process

机译：基于深度学习的基于深度学习的基于立体光刻（SLA）3D打印过程的应力预测

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作者
Khadilkar, Aditya Pramod.;
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作者单位

State University of New York at Buffalo.;

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授予单位 State University of New York at Buffalo.;
学科
学位 M.S.
年度 2018
页码 37 p.
总页数 37
原文格式 PDF
正文语种 eng
中图分类 AAI10930707;
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1. Deep learning-based stress prediction for bottom-up SLA 3D printing process [J] . Khadilkar Aditya, Wang Jun, Rai Rahul The International Journal of Advanced Manufacturing Technology . 2019,第5a8期

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2. Difference-based deep learning framework for stress predictions in heterogeneous media [J] . Feng Haotian, Prabhakar Pavana Composite Structures . 2021,第Auga期

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4. Multi-Dimensional Project Based Learning on Understanding PetrophysicalProperties by Utilizing Image Processing and 3D Printing [C] . Nayef Alyafei, Jerahmeel Bautista, Sahar Mari EAGE Conference and Exhibition . 2020

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5. A Deep-learning Method of Automatic VMAT Planning Via MLC Dynamic Sequence Prediction (AVP-DSP) Using 3D Dose Prediction: a Feasibility Study of Prostate Radiotherapy Application [D] . Ni, Yimin. 2020

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6. A Fault Prediction and Cause Identification Approach in Complex Industrial Processes Based on Deep Learning [O] . Yao Li 2021

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Deep Learning Based Stress Prediction for Bottom-Up Stereo-Lithography (SLA) 3D Printing Process

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