CAD-Integrated cost estimation and build orientation optimization to support design for metal additive manufacturing

Michael Barclift, Andrew Armstrong, Timothy William Simpson, Sanjay B. Joshi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Cost estimation techniques for Additive Manufacturing (AM) have limited synchronization with the metadata of 3D CAD models. This paper proposes a method for estimating AM build costs through a commercial 3D solid modeling program. Using an application programming interface (API), part volume and surface data is queried from the CAD model and used to generate internal and external support structures as solid-body features. The queried data along with manipulation of the part's build orientation allows users to estimate build time, feedstock requirements, and optimize parts for AM production while they are being designed in a CAD program. A case study is presented with a macro programmed using the SolidWorks API with costing for a metal 3D-printed automotive component. Results reveal that an imprecise support angle can under-predict support volume by 34% and build time by 20%. Orientation and insufficient build volume packing can increase powder depreciation costs by nearly twice the material costs.

Original languageEnglish (US)
Title of host publication43rd Design Automation Conference
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791858127
DOIs
StatePublished - Jan 1 2017
EventASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017 - Cleveland, United States
Duration: Aug 6 2017Aug 9 2017

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume2A-2017

Other

OtherASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017
CountryUnited States
CityCleveland
Period8/6/178/9/17

Fingerprint

3D printers
Cost Estimation
Computer aided design
Manufacturing
Metals
Optimization
Costs
Programming
Application programming interfaces (API)
Solid Modeling
3D Modeling
Depreciation
Powder
Metadata
Packing
Manipulation
Synchronization
Optimise
Feedstocks
Internal

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modeling and Simulation

Cite this

Barclift, M., Armstrong, A., Simpson, T. W., & Joshi, S. B. (2017). CAD-Integrated cost estimation and build orientation optimization to support design for metal additive manufacturing. In 43rd Design Automation Conference (Proceedings of the ASME Design Engineering Technical Conference; Vol. 2A-2017). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2017-68376
Barclift, Michael ; Armstrong, Andrew ; Simpson, Timothy William ; Joshi, Sanjay B. / CAD-Integrated cost estimation and build orientation optimization to support design for metal additive manufacturing. 43rd Design Automation Conference. American Society of Mechanical Engineers (ASME), 2017. (Proceedings of the ASME Design Engineering Technical Conference).
@inproceedings{aa0d826ed4ce4c2ba5b35a04d4e971c6,
title = "CAD-Integrated cost estimation and build orientation optimization to support design for metal additive manufacturing",
abstract = "Cost estimation techniques for Additive Manufacturing (AM) have limited synchronization with the metadata of 3D CAD models. This paper proposes a method for estimating AM build costs through a commercial 3D solid modeling program. Using an application programming interface (API), part volume and surface data is queried from the CAD model and used to generate internal and external support structures as solid-body features. The queried data along with manipulation of the part's build orientation allows users to estimate build time, feedstock requirements, and optimize parts for AM production while they are being designed in a CAD program. A case study is presented with a macro programmed using the SolidWorks API with costing for a metal 3D-printed automotive component. Results reveal that an imprecise support angle can under-predict support volume by 34{\%} and build time by 20{\%}. Orientation and insufficient build volume packing can increase powder depreciation costs by nearly twice the material costs.",
author = "Michael Barclift and Andrew Armstrong and Simpson, {Timothy William} and Joshi, {Sanjay B.}",
year = "2017",
month = "1",
day = "1",
doi = "10.1115/DETC2017-68376",
language = "English (US)",
series = "Proceedings of the ASME Design Engineering Technical Conference",
publisher = "American Society of Mechanical Engineers (ASME)",
booktitle = "43rd Design Automation Conference",

}

Barclift, M, Armstrong, A, Simpson, TW & Joshi, SB 2017, CAD-Integrated cost estimation and build orientation optimization to support design for metal additive manufacturing. in 43rd Design Automation Conference. Proceedings of the ASME Design Engineering Technical Conference, vol. 2A-2017, American Society of Mechanical Engineers (ASME), ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017, Cleveland, United States, 8/6/17. https://doi.org/10.1115/DETC2017-68376

CAD-Integrated cost estimation and build orientation optimization to support design for metal additive manufacturing. / Barclift, Michael; Armstrong, Andrew; Simpson, Timothy William; Joshi, Sanjay B.

43rd Design Automation Conference. American Society of Mechanical Engineers (ASME), 2017. (Proceedings of the ASME Design Engineering Technical Conference; Vol. 2A-2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - CAD-Integrated cost estimation and build orientation optimization to support design for metal additive manufacturing

AU - Barclift, Michael

AU - Armstrong, Andrew

AU - Simpson, Timothy William

AU - Joshi, Sanjay B.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Cost estimation techniques for Additive Manufacturing (AM) have limited synchronization with the metadata of 3D CAD models. This paper proposes a method for estimating AM build costs through a commercial 3D solid modeling program. Using an application programming interface (API), part volume and surface data is queried from the CAD model and used to generate internal and external support structures as solid-body features. The queried data along with manipulation of the part's build orientation allows users to estimate build time, feedstock requirements, and optimize parts for AM production while they are being designed in a CAD program. A case study is presented with a macro programmed using the SolidWorks API with costing for a metal 3D-printed automotive component. Results reveal that an imprecise support angle can under-predict support volume by 34% and build time by 20%. Orientation and insufficient build volume packing can increase powder depreciation costs by nearly twice the material costs.

AB - Cost estimation techniques for Additive Manufacturing (AM) have limited synchronization with the metadata of 3D CAD models. This paper proposes a method for estimating AM build costs through a commercial 3D solid modeling program. Using an application programming interface (API), part volume and surface data is queried from the CAD model and used to generate internal and external support structures as solid-body features. The queried data along with manipulation of the part's build orientation allows users to estimate build time, feedstock requirements, and optimize parts for AM production while they are being designed in a CAD program. A case study is presented with a macro programmed using the SolidWorks API with costing for a metal 3D-printed automotive component. Results reveal that an imprecise support angle can under-predict support volume by 34% and build time by 20%. Orientation and insufficient build volume packing can increase powder depreciation costs by nearly twice the material costs.

UR - http://www.scopus.com/inward/record.url?scp=85034777549&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85034777549&partnerID=8YFLogxK

U2 - 10.1115/DETC2017-68376

DO - 10.1115/DETC2017-68376

M3 - Conference contribution

T3 - Proceedings of the ASME Design Engineering Technical Conference

BT - 43rd Design Automation Conference

PB - American Society of Mechanical Engineers (ASME)

ER -

Barclift M, Armstrong A, Simpson TW, Joshi SB. CAD-Integrated cost estimation and build orientation optimization to support design for metal additive manufacturing. In 43rd Design Automation Conference. American Society of Mechanical Engineers (ASME). 2017. (Proceedings of the ASME Design Engineering Technical Conference). https://doi.org/10.1115/DETC2017-68376