Sustainability aspects of additive manufacturing: Leveraging resource efficiency via product design optimization and laser powder bed fusion
Natural resource is used for producing useful components and in the process fractions of
Natural resources are used for producing useful components and in the process fractions of …
Natural resources are used for producing useful components and in the process fractions of …
Predicting defects of EBM-based additive manufacturing through XGBoost
J Jeong - Journal of the Korea Institute of Information and …, 2022 - koreascience.kr
This paper is a study to find out the factors affecting the defects that occur during the use of
Electron Beam Melting (EBM), one of the 3D printer output methods, through data analysis …
Electron Beam Melting (EBM), one of the 3D printer output methods, through data analysis …
Endüstri 4.0 Çerçevesinde Katmanli İmalatta Sensör Uygulamalari
A Çelebi, Y Koda - … Journal of 3D Printing Technologies and Digital …, 2021 - dergipark.org.tr
Bu derleme makalesi, katmanlı imalatta (Kİ) sensör entegrasyonuna odaklanmıştır. Devrim
yaratma potansiyeline sahip katmanlı imalat, ürün tasarımı ve malzemelerinde benzeri …
yaratma potansiyeline sahip katmanlı imalat, ürün tasarımı ve malzemelerinde benzeri …
[BOOK][B] In-situ Monitoring of the Selective Laser Melting Process via Optical Tomography
C Seavers - 2021 - search.proquest.com
Selective laser melting (SLM) is a method of additive manufacturing that has become
increasingly popular in recent years for fabricating complex components, especially in the …
increasingly popular in recent years for fabricating complex components, especially in the …
Study of the Advantages and Disadvantages of Multi-Sensor Data Fusion for Additive Manufacturing.
A Al Hashemi, J Ali - Journal of Practical Information …, 2022 - search.ebscohost.com
Although additive manufacturing (AM) technologies continue to improve, some primary
challenges still hinder its broad adoption. The challenges include the following: parts …
challenges still hinder its broad adoption. The challenges include the following: parts …
[BOOK][B] Data-Driven Condition Monitoring and Defect Detection in Electron-Beam Additive Manufacturing
J Jeong - 2021 - search.proquest.com
This dissertation aims to predict factors to affect fault occurrences during an EBM (Ele ctronic
Beam Melting) based additive manufacturing process using large data logs. The key idea is …
Beam Melting) based additive manufacturing process using large data logs. The key idea is …
Application des algorithmes de prédiction de défaillances dans la fabrication additive
A Ben Hammouda - 2023 - depositum.uqat.ca
La détection des défauts des pièces lors de la fabrication additive (FA) constitue,
aujourd'hui, une des solutions permettant d'éviter tout gaspillage de matière première, perte …
aujourd'hui, une des solutions permettant d'éviter tout gaspillage de matière première, perte …
Potential applications of collaborative intelligence technologies in manufacturing: study of applicability of collaborative intelligence technologies in manufacturing …
MHD SHARKAWY - 2020 - politesi.polimi.it
The pacing adoption of Artificial Intelligence (AI) technologies has encouraged researchers
to work on the potential change the collaboration between human intelligence and machine …
to work on the potential change the collaboration between human intelligence and machine …
XGBoost 를 활용한 EBM 3D 프린터의 결함 예측.
정자훈 - Journal of the Korea Institute of Information & …, 2022 - search.ebscohost.com
요 약본 논문은 3D 프린터 출력 방식 중 하나인, 전자빔용해법 (EBM) 의 공정 간에 발생하는
결함에 영향을 미치는 요인들을 데이터 분석을 통해 규명하는 연구이다. 선행 연구들을 …
결함에 영향을 미치는 요인들을 데이터 분석을 통해 규명하는 연구이다. 선행 연구들을 …