다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

A review of melting and freezing processes of PCM/nano-PCM and their application in energy storage

Effect of sonication characteristics on stability, thermophysical properties, and heat transfer of nanofluids: A comprehensive review

Recent advances in preparation methods and thermophysical properties of oil-based nanofluids: A state-of-the-art review

MHD flow and heat transfer near stagnation point over a stretching/shrinking surface with partial slip and viscous dissipation: Hybrid nanofluid versus nanofluid

On the nanofluids applications in microchannels: A comprehensive review

Stereolithography process limits wider applications due to low dimensional accuracy comparing with CNC process. Hence, to improve accuracy and reduce part distortion, understanding the physics involved in the relationship between the setup input parameters and the part dimensional accuracy is prerequisite. In this paper, a model is proposed to find and optimize important parameters to achieve higher accuracy and also predict dimensional accuracy using various parameters values. For this purpose, the result of a previous study is used, where it is found that in stereolithography process these factors in order of importance with respect to dimensional accuracy are: layer thickness, hatch style, hatch spacing, hatch fill cure depth and hatch overcure. Moreover, in this research the proposed neural network model is able to predict dimensional accuracy with 6% error.

http://admt.iaumajlesi.ac.ir/article_534873_cfb38e21b50b7ff46781d973c4675a17.pdf

Farid Ghadami

Papers

On the nanofluids applications in microchannels: A comprehensive review

Process parameters optimization to improve dimensional accuracy of stereolithography parts