최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국정밀공학회지 = Journal of the Korean Society for Precision Engineering, v.34 no.10, 2017년, pp.683 - 687
김동민 (울산과학기술원 기계공학과) , 김도영 (울산과학기술원 기계공학과) , 박형욱 (울산과학기술원 기계공학과)
The surface roughness and cutting forces are the important factors for the machine-part quality during the hard-turning process. The aim of this paper is to optimize hard-cutting conditions via implementation of response surface methodology (RSM). The experiments were conducted for the hard-turning ...
Tang, Linhu, Yin, Jun, Sun, Yongji, Shen, Hao, Gao, Chengxiu. Chip formation mechanism in dry hard high-speed orthogonal turning of hardened AISI D2 tool steel with different hardness levels. International journal of advanced manufacturing technology, vol.93, no.5, 2341-2356.
Sharma, Vishal S., Dhiman, Suresh, Sehgal, Rakesh, Sharma, S. K.. Estimation of cutting forces and surface roughness for hard turning using neural networks. Journal of intelligent manufacturing, vol.19, no.4, 473-483.
Philip Selvaraj, D., Chandramohan, P., Mohanraj, M.. Optimization of surface roughness, cutting force and tool wear of nitrogen alloyed duplex stainless steel in a dry turning process using Taguchi method. Measurement : journal of the International Measurement Confederation, vol.49, 205-215.
Davim, J.P., Figueira, L.. Machinability evaluation in hard turning of cold work tool steel (D2) with ceramic tools using statistical techniques. Materials & design, vol.28, no.4, 1186-1191.
Yang, W.H., Tarng, Y.S.. Design optimization of cutting parameters for turning operations based on the Taguchi method. Journal of materials processing technology, vol.84, no.1, 122-129.
Nayak, Shreemoy Kumar, Patro, Jatin Kumar, Dewangan, Shailesh, Gangopadhyay, Soumya. Multi-objective Optimization of Machining Parameters During Dry Turning of AISI 304 Austenitic Stainless Steel Using Grey Relational Analysis. Procedia Materials Science, vol.6, 701-708.
Mia, M., Dhar, N.R.. Prediction of surface roughness in hard turning under high pressure coolant using Artificial Neural Network. Measurement : journal of the International Measurement Confederation, vol.92, 464-474.
Bouacha, Khaider, Terrab, Asma. Hard turning behavior improvement using NSGA-II and PSO-NN hybrid model. International journal of advanced manufacturing technology, vol.86, no.9, 3527-3546.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.