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1
Gaussian process-based surrogate modeling framework for process planning in laser powder-bed fusion additive manufacturing of 316L stainless steel
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Gaussian process-based surrogate modeling framework for process planning in laser powder-bed fusion additive manufacturing of 316L stainless steel

Tapia, Gustavo ; Khairallah, Saad ; Matthews, Manyalibo ; King, Wayne E. ; Elwany, Alaa

International journal of advanced manufacturing technology, 2018-02, Vol.94 (9-12), p.3591-3603 [Periódico revisado por pares]

London: Springer London

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2
A novel hybrid whale–Nelder–Mead algorithm for optimization of design and manufacturing problems
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A novel hybrid whale–Nelder–Mead algorithm for optimization of design and manufacturing problems

Yildiz, Ali Riza

International journal of advanced manufacturing technology, 2019-12, Vol.105 (12), p.5091-5104 [Periódico revisado por pares]

London: Springer London

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3
Structural failure during extrusion-based 3D printing processes
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Structural failure during extrusion-based 3D printing processes

Wolfs, R. J. M. ; Suiker, A. S. J.

International journal of advanced manufacturing technology, 2019-09, Vol.104 (1-4), p.565-584 [Periódico revisado por pares]

London: Springer London

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4
Optimum design of cam-roller follower mechanism using a new evolutionary algorithm
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Optimum design of cam-roller follower mechanism using a new evolutionary algorithm

Hamza, Ferhat ; Abderazek, Hammoudi ; Lakhdar, Smata ; Ferhat, Djeddou ; Yıldız, Ali Rıza

International journal of advanced manufacturing technology, 2018-11, Vol.99 (5-8), p.1267-1282 [Periódico revisado por pares]

London: Springer London

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5
Highly accurate 5-axis flank CNC machining with conical tools
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Highly accurate 5-axis flank CNC machining with conical tools

Calleja, Amaia ; Bo, Pengbo ; González, Haizea ; Bartoň, Michael ; López de Lacalle, Luis Norberto

International journal of advanced manufacturing technology, 2018-07, Vol.97 (5-8), p.1605-1615 [Periódico revisado por pares]

London: Springer London

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6
Uncertainty quantification and management in additive manufacturing: current status, needs, and opportunities
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Uncertainty quantification and management in additive manufacturing: current status, needs, and opportunities

Hu, Zhen ; Mahadevan, Sankaran

International journal of advanced manufacturing technology, 2017-11, Vol.93 (5-8), p.2855-2874 [Periódico revisado por pares]

London: Springer London

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7
Deep learning–based stress prediction for bottom-up SLA 3D printing process
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Deep learning–based stress prediction for bottom-up SLA 3D printing process

Khadilkar, Aditya ; Wang, Jun ; Rai, Rahul

International journal of advanced manufacturing technology, 2019-06, Vol.102 (5-8), p.2555-2569 [Periódico revisado por pares]

London: Springer London

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8
Three-dimensional CFD simulation of the stencil printing performance of solder paste
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Three-dimensional CFD simulation of the stencil printing performance of solder paste

Rusdi, M. S. ; Abdullah, M. Z. ; Ishak, M. H. H. ; Aziz, M. S. Abdul ; Abdullah, M. K. ; Rethinasamy, P. ; Jalar, A.

International journal of advanced manufacturing technology, 2020-06, Vol.108 (9-10), p.3351-3359 [Periódico revisado por pares]

London: Springer London

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9
Reducing the energy consumption of industrial robots in manufacturing systems
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Reducing the energy consumption of industrial robots in manufacturing systems

Paryanto ; Brossog, Matthias ; Bornschlegl, Martin ; Franke, Jörg

International journal of advanced manufacturing technology, 2015-05, Vol.78 (5-8), p.1315-1328 [Periódico revisado por pares]

London: Springer London

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10
Data mining and statistical inference in selective laser melting
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Data mining and statistical inference in selective laser melting

Kamath, Chandrika

International Journal of Advanced Manufacturing Technology, 2016-09, Vol.86 (5-8), p.1659-1677 [Periódico revisado por pares]

London: Springer London

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