A specific manufacturing cost model for fast cost estimation in additive manufacturing

Li Yi; Max Werrel; Svenja Ehmsen; Moritz Glatt; Jan C. Aurich

doi:10.1016/j.procir.2023.08.005

A specific manufacturing cost model for fast cost estimation in additive manufacturing

Li Yi^*
, Max Werrel
, Svenja Ehmsen
, Moritz Glatt
, Jan C. Aurich

^*Corresponding author for this work

The University of Kaiserslautern-Landau

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

Abstract

Additive manufacturing (AM) has been widely used for high-value-added parts. Therefore, cost models are needed for fast and accurate cost estimation during the AM design phase; otherwise, incorrect cost estimation may cause unexpected cost expenses. This work proposes a parametric cost model for AM using experimental and statistical methods. In this work, specific manufacturing costs (SMC) and build rates (cm^3/h) are calculated based on experiments and approximated by regression models. For a fast cost estimation in AM, the build rate for a build task needs to be investigated, and then the SMC can be calculated using the regression model.

Original language	English
Pages (from-to)	21-26
Number of pages	6
Journal	Procedia CIRP
Volume	120
DOIs	https://doi.org/10.1016/j.procir.2023.08.005
State	Published - 2023
Externally published	Yes
Event	56th CIRP International Conference on Manufacturing Systems, CIRP CMS 2023 - Cape Town, South Africa Duration: 24 Oct 2023 → 26 Oct 2023

Keywords

additive manufacturing
cost estimation
material extrusion
specific manufacturing cost
statsticl modeling

Access to Document

10.1016/j.procir.2023.08.005

Cite this

@article{b401750f1e0b4a1da6969c9130f09f70,

title = "A specific manufacturing cost model for fast cost estimation in additive manufacturing",

abstract = "Additive manufacturing (AM) has been widely used for high-value-added parts. Therefore, cost models are needed for fast and accurate cost estimation during the AM design phase; otherwise, incorrect cost estimation may cause unexpected cost expenses. This work proposes a parametric cost model for AM using experimental and statistical methods. In this work, specific manufacturing costs (SMC) and build rates (cm3/h) are calculated based on experiments and approximated by regression models. For a fast cost estimation in AM, the build rate for a build task needs to be investigated, and then the SMC can be calculated using the regression model.",

keywords = "additive manufacturing, cost estimation, material extrusion, specific manufacturing cost, statsticl modeling",

author = "Li Yi and Max Werrel and Svenja Ehmsen and Moritz Glatt and Aurich, \{Jan C.\}",

note = "Publisher Copyright: {\textcopyright} 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 56th CIRP International Conference on Manufacturing Systems 2023.; 56th CIRP International Conference on Manufacturing Systems, CIRP CMS 2023 ; Conference date: 24-10-2023 Through 26-10-2023",

year = "2023",

doi = "10.1016/j.procir.2023.08.005",

language = "英语",

volume = "120",

pages = "21--26",

journal = "Procedia CIRP",

issn = "2212-8271",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - A specific manufacturing cost model for fast cost estimation in additive manufacturing

AU - Yi, Li

AU - Werrel, Max

AU - Ehmsen, Svenja

AU - Glatt, Moritz

AU - Aurich, Jan C.

N1 - Publisher Copyright: © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 56th CIRP International Conference on Manufacturing Systems 2023.

PY - 2023

Y1 - 2023

N2 - Additive manufacturing (AM) has been widely used for high-value-added parts. Therefore, cost models are needed for fast and accurate cost estimation during the AM design phase; otherwise, incorrect cost estimation may cause unexpected cost expenses. This work proposes a parametric cost model for AM using experimental and statistical methods. In this work, specific manufacturing costs (SMC) and build rates (cm3/h) are calculated based on experiments and approximated by regression models. For a fast cost estimation in AM, the build rate for a build task needs to be investigated, and then the SMC can be calculated using the regression model.

AB - Additive manufacturing (AM) has been widely used for high-value-added parts. Therefore, cost models are needed for fast and accurate cost estimation during the AM design phase; otherwise, incorrect cost estimation may cause unexpected cost expenses. This work proposes a parametric cost model for AM using experimental and statistical methods. In this work, specific manufacturing costs (SMC) and build rates (cm3/h) are calculated based on experiments and approximated by regression models. For a fast cost estimation in AM, the build rate for a build task needs to be investigated, and then the SMC can be calculated using the regression model.

KW - additive manufacturing

KW - cost estimation

KW - material extrusion

KW - specific manufacturing cost

KW - statsticl modeling

UR - https://www.scopus.com/pages/publications/85184587943

U2 - 10.1016/j.procir.2023.08.005

DO - 10.1016/j.procir.2023.08.005

M3 - 会议文章

AN - SCOPUS:85184587943

SN - 2212-8271

VL - 120

SP - 21

EP - 26

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 56th CIRP International Conference on Manufacturing Systems, CIRP CMS 2023

Y2 - 24 October 2023 through 26 October 2023

ER -

A specific manufacturing cost model for fast cost estimation in additive manufacturing

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this