A strategy to determine the optimal parameters for producing high density part in selective laser melting process

Hong Chuong Tran; Yu Lung Lo; Trong Nhan Le

A strategy to determine the optimal parameters for producing high density part in selective laser melting process

Hong Chuong Tran, Yu Lung Lo, Trong Nhan Le

Research output: Contribution to conference › Paper › peer-review

Abstract

Finding the processing conditions which can produce high density components using Selective Laser Melting (SLM) technique based on trial-and-error is costly and time consuming. With a given SLM machine characteristics (e.g., laser power, scanning speed, laser spot size and laser type), powder material and powder size distribution, the present study proposes an approach to reduce the time and cost in searching optimal parameters for fabricating fully dense parts. The proposed method include several simulation models which are powder bed simulation, Monte Carlo ray tracing simulation, Finite Element Heat Transfer simulation and surrogate modeling. These simulation models are employed to find the viable processing parameters to produce high density component. The experimental results show that the proposed methods results in a maximum component density of 99.97%, an average component density of 99.89% and a maximum standard deviation of 0.03%.

Original language	English
Pages	1350-1352
Number of pages	3
Publication status	Published - 2019
Event	30th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2019 - Austin, United States Duration: 2019 Aug 12 → 2019 Aug 14

Conference

Conference	30th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2019
Country	United States
City	Austin
Period	19-08-12 → 19-08-14

All Science Journal Classification (ASJC) codes

Surfaces, Coatings and Films
Surfaces and Interfaces

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@conference{f8e7d9aee9a14ba1a396f3b42c1358ec,

title = "A strategy to determine the optimal parameters for producing high density part in selective laser melting process",

abstract = "Finding the processing conditions which can produce high density components using Selective Laser Melting (SLM) technique based on trial-and-error is costly and time consuming. With a given SLM machine characteristics (e.g., laser power, scanning speed, laser spot size and laser type), powder material and powder size distribution, the present study proposes an approach to reduce the time and cost in searching optimal parameters for fabricating fully dense parts. The proposed method include several simulation models which are powder bed simulation, Monte Carlo ray tracing simulation, Finite Element Heat Transfer simulation and surrogate modeling. These simulation models are employed to find the viable processing parameters to produce high density component. The experimental results show that the proposed methods results in a maximum component density of 99.97%, an average component density of 99.89% and a maximum standard deviation of 0.03%.",

author = "Tran, {Hong Chuong} and Lo, {Yu Lung} and Le, {Trong Nhan}",

note = "Funding Information: The authors gratefully acknowledge the financial support provided to this study by the Ministry of Science and Technology of Taiwan under Grant Nos. MOST 105-2218-E-006-015 and MOST 107-2218-E-006-051. The research was also supported in part by the Ministry of Education, Taiwan, Headquarters of University Advancement through funding to the Intelligent Manufacturing Research Center (iMRC), National Cheng Kung University (NCKU).; 30th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2019 ; Conference date: 12-08-2019 Through 14-08-2019",

year = "2019",

language = "English",

pages = "1350--1352",

}

A strategy to determine the optimal parameters for producing high density part in selective laser melting process. / Tran, Hong Chuong; Lo, Yu Lung; Le, Trong Nhan.

2019. 1350-1352 Paper presented at 30th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2019, Austin, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - A strategy to determine the optimal parameters for producing high density part in selective laser melting process

AU - Tran, Hong Chuong

AU - Lo, Yu Lung

AU - Le, Trong Nhan

N1 - Funding Information: The authors gratefully acknowledge the financial support provided to this study by the Ministry of Science and Technology of Taiwan under Grant Nos. MOST 105-2218-E-006-015 and MOST 107-2218-E-006-051. The research was also supported in part by the Ministry of Education, Taiwan, Headquarters of University Advancement through funding to the Intelligent Manufacturing Research Center (iMRC), National Cheng Kung University (NCKU).

PY - 2019

Y1 - 2019

N2 - Finding the processing conditions which can produce high density components using Selective Laser Melting (SLM) technique based on trial-and-error is costly and time consuming. With a given SLM machine characteristics (e.g., laser power, scanning speed, laser spot size and laser type), powder material and powder size distribution, the present study proposes an approach to reduce the time and cost in searching optimal parameters for fabricating fully dense parts. The proposed method include several simulation models which are powder bed simulation, Monte Carlo ray tracing simulation, Finite Element Heat Transfer simulation and surrogate modeling. These simulation models are employed to find the viable processing parameters to produce high density component. The experimental results show that the proposed methods results in a maximum component density of 99.97%, an average component density of 99.89% and a maximum standard deviation of 0.03%.

AB - Finding the processing conditions which can produce high density components using Selective Laser Melting (SLM) technique based on trial-and-error is costly and time consuming. With a given SLM machine characteristics (e.g., laser power, scanning speed, laser spot size and laser type), powder material and powder size distribution, the present study proposes an approach to reduce the time and cost in searching optimal parameters for fabricating fully dense parts. The proposed method include several simulation models which are powder bed simulation, Monte Carlo ray tracing simulation, Finite Element Heat Transfer simulation and surrogate modeling. These simulation models are employed to find the viable processing parameters to produce high density component. The experimental results show that the proposed methods results in a maximum component density of 99.97%, an average component density of 99.89% and a maximum standard deviation of 0.03%.

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