Influence of critical process parameters on surface roughness and statistical optimization of LPBF 316L stainless steel

Shubhavardhan Ramadurga Narasimharaju; Weidong Liu; Wenhan Zeng; Paul Scott; Jane Jiang; Shan Lou

Influence of critical process parameters on surface roughness and statistical optimization of LPBF 316L stainless steel

Shubhavardhan Ramadurga Narasimharaju, Weidong Liu, Wenhan Zeng, Paul Scott, Jane Jiang, Shan Lou

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This research aims to study the impact of critical LPBF process parameters on the resultant surface roughness of LBPF processed 316L stainless steel artefact's top surface using Taguchi design of experiments (DoE). Based on the obtained results, the layer thickness is the most influential parameter, followed by point distance, exposure time, laser power, and hatch spacing which significantly impact the surface roughness of LBPF fabricated parts.

Original language	English
Title of host publication	2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing
Place of Publication	9781713859192
Publisher	American Society for Precision Engineering, ASPE
Pages	113-118
Number of pages	6
Volume	77
ISBN (Print)	9781887706551
Publication status	Published - 1 Sep 2022
Event	2022 Summer Topical Meeting: Advancing Precision in Additive Manufacturing - Knoxville, United States Duration: 11 Jul 2022 → 14 Jul 2022

Conference

Conference	2022 Summer Topical Meeting
Country/Territory	United States
City	Knoxville
Period	11/07/22 → 14/07/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

Ramadurga Narasimharaju, S., Liu, W., Zeng, W., Scott, P., Jiang, J., & Lou, S. (2022). Influence of critical process parameters on surface roughness and statistical optimization of LPBF 316L stainless steel. In 2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing (Vol. 77, pp. 113-118). American Society for Precision Engineering, ASPE.

Ramadurga Narasimharaju, Shubhavardhan ; Liu, Weidong ; Zeng, Wenhan et al. / Influence of critical process parameters on surface roughness and statistical optimization of LPBF 316L stainless steel. 2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing. Vol. 77 9781713859192 : American Society for Precision Engineering, ASPE, 2022. pp. 113-118

@inproceedings{45208c6aa855445798f51bdf16c1c83f,

title = "Influence of critical process parameters on surface roughness and statistical optimization of LPBF 316L stainless steel",

abstract = "This research aims to study the impact of critical LPBF process parameters on the resultant surface roughness of LBPF processed 316L stainless steel artefact's top surface using Taguchi design of experiments (DoE). Based on the obtained results, the layer thickness is the most influential parameter, followed by point distance, exposure time, laser power, and hatch spacing which significantly impact the surface roughness of LBPF fabricated parts.",

keywords = "Surface roughness, Statistical optimisation, LBPF 316L stainless steel",

author = "{Ramadurga Narasimharaju}, Shubhavardhan and Weidong Liu and Wenhan Zeng and Paul Scott and Jane Jiang and Shan Lou",

year = "2022",

month = sep,

day = "1",

language = "English",

isbn = "9781887706551",

volume = "77",

pages = "113--118",

booktitle = "2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing",

publisher = "American Society for Precision Engineering, ASPE",

address = "United States",

note = "2022 Summer Topical Meeting : Advancing Precision in Additive Manufacturing ; Conference date: 11-07-2022 Through 14-07-2022",

}

Ramadurga Narasimharaju, S, Liu, W, Zeng, W , Scott, P , Jiang, J & Lou, S 2022, Influence of critical process parameters on surface roughness and statistical optimization of LPBF 316L stainless steel. in 2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing. vol. 77, American Society for Precision Engineering, ASPE, 9781713859192, pp. 113-118, 2022 Summer Topical Meeting, Knoxville, Tennessee, United States, 11/07/22.

Influence of critical process parameters on surface roughness and statistical optimization of LPBF 316L stainless steel. / Ramadurga Narasimharaju, Shubhavardhan; Liu, Weidong; Zeng, Wenhan et al.

2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing. Vol. 77 9781713859192 : American Society for Precision Engineering, ASPE, 2022. p. 113-118.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Influence of critical process parameters on surface roughness and statistical optimization of LPBF 316L stainless steel

AU - Ramadurga Narasimharaju, Shubhavardhan

AU - Liu, Weidong

AU - Zeng, Wenhan

AU - Scott, Paul

AU - Jiang, Jane

AU - Lou, Shan

PY - 2022/9/1

Y1 - 2022/9/1

N2 - This research aims to study the impact of critical LPBF process parameters on the resultant surface roughness of LBPF processed 316L stainless steel artefact's top surface using Taguchi design of experiments (DoE). Based on the obtained results, the layer thickness is the most influential parameter, followed by point distance, exposure time, laser power, and hatch spacing which significantly impact the surface roughness of LBPF fabricated parts.

AB - This research aims to study the impact of critical LPBF process parameters on the resultant surface roughness of LBPF processed 316L stainless steel artefact's top surface using Taguchi design of experiments (DoE). Based on the obtained results, the layer thickness is the most influential parameter, followed by point distance, exposure time, laser power, and hatch spacing which significantly impact the surface roughness of LBPF fabricated parts.

KW - Surface roughness

KW - Statistical optimisation

KW - LBPF 316L stainless steel

UR - https://aspe.net/2022-summer-topical-meeting/

UR - http://www.scopus.com/inward/record.url?scp=85139773358&partnerID=8YFLogxK

UR - https://www.proceedings.com/65359.html

M3 - Conference contribution

SN - 9781887706551

VL - 77

SP - 113

EP - 118

BT - 2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing

PB - American Society for Precision Engineering, ASPE

CY - 9781713859192

T2 - 2022 Summer Topical Meeting

Y2 - 11 July 2022 through 14 July 2022

ER -

Ramadurga Narasimharaju S, Liu W, Zeng W , Scott P , Jiang J , Lou S. Influence of critical process parameters on surface roughness and statistical optimization of LPBF 316L stainless steel. In 2022 ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing. Vol. 77. 9781713859192: American Society for Precision Engineering, ASPE. 2022. p. 113-118

Influence of critical process parameters on surface roughness and statistical optimization of LPBF 316L stainless steel

Abstract

Conference

UN SDGs

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