Work Description

Title: Laser Additive Manufacturing Process (LAMP) Model Decision Support Tool Open Access Deposited

h
Attribute Value
Methodology
  • A mechanistic model constructed with uncertainty for 5 different manufacturing processes: metal & polymer L-PBF, die casting, injection molding and machining, with manufacturing process settings and part characteristics as the input. The model can be used to predict various impacts to manufacture a given part geometry.
Description
  • Laser Additive Manufacturing Process (LAMP) Model Decision Support Tool constructed in excel sheet to predict the environmental impact, cost and lead time associated with various manufacturing processes
Creator
Depositor
Contact information
Discipline
Funding agency
  • Other Funding Agency
Other Funding agency
  • Ford Motor Company
Keyword
Date coverage
  • 2023
Citations to related material
  • Jiankan Liao, Robert De Kleine, Hyung Chul Kim, George Luckey, Joy Forsmark, Ellen C. Lee, Daniel R. Cooper, Assessing the sustainability of laser powder bed fusion and traditional manufacturing processes using a parametric environmental impact model, Resources, Conservation and Recycling, Volume 198, 2023, 107138, https://doi.org/10.1016/j.resconrec.2023.107138.
Resource type
Last modified
  • 04/21/2025
Published
  • 04/21/2025
Language
DOI
  • https://doi.org/10.7302/j2vd-y813
License
To Cite this Work:
Liao, J., De Kleine, R., Kim, H. C., Luckey, G., Forsmark, J., Lee, E. C., Cooper, D. R. (2025). Laser Additive Manufacturing Process (LAMP) Model Decision Support Tool [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/j2vd-y813

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Files (Count: 2; Size: 339 KB)

Date: 17 April, 2025

Dataset Title: Laser Additive Manufacturing Process (LAMP) Model Decision Support Tool

Dataset Contact: [email protected]

Dataset Creators:
Name: Jiankan Liao
Email: [email protected]
Institution: University of Michigan Department of Mechanical Engineering
ORCID: https://orcid.org/0000-0001-8104-8388

Name: Robert De Kleine
Institution: Research and Innovation Center, Ford Motor Company

Name: Hyung Chul Kim
Institution: Research and Innovation Center, Ford Motor Company

Name: George Luckey
Institution: Research and Innovation Center, Ford Motor Company

Name: Joy Forsmark
Institution: Research and Innovation Center, Ford Motor Company

Name: Ellen C. Lee
Institution: Research and Innovation Center, Ford Motor Company

Name: Daniel R Cooper
Email: [email protected]
Institution: University of Michigan Department of Mechanical Engineering
ORCID: https://orcid.org/0000-0003-2903-0468

Funding:
- Ford Motor Company University Research Project (URP) award

Nomenclature:

Key Points:
- The excel-based Laser Additive Manufacturing Process (LAMP) Model Decision Support Tool

Research Overview:
Laser Additive Manufacturing Process (LAMP) Model Decision Support Tool constructed in excel sheet to predict the environmental impact, cost and lead time associated with various manufacturing processes

Methodology:
A mechanistic model constructed with uncertainty for 5 different manufacturing processes: metal & polymer L-PBF, die casting, injection molding and machining, with manufacturing process settings and part characteristics as the input. The model can be used to predict various impacts to manufacture a given part geometry.

Instrument and/or Software specifications: MS excel

Files contained here:
(1): LAMP.xlsx
-This file contains the LAMP model constructed in excel

Related publication(s): Jiankan Liao, Robert De Kleine, Hyung Chul Kim, George Luckey, Joy Forsmark, Ellen C. Lee, Daniel R. Cooper, Assessing the sustainability of laser powder bed fusion and traditional manufacturing processes using a parametric environmental impact model,
Resources, Conservation and Recycling, Volume 198, 2023, 107138, https://doi.org/10.1016/j.resconrec.2023.107138.

Use and Access:
This data set is made available under an Attribution 4.0 International (CC BY 4.0).

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