Algorithm for remanufacturing of damaged parts with hybrid 3D printing and machining process

Yufan Zheng; A. J. Qureshi; Rafiq Ahmad

doi:10.1016/j.mfglet.2018.02.010

Algorithm for remanufacturing of damaged parts with hybrid 3D printing and machining process

Yufan Zheng, A. J. Qureshi, Rafiq Ahmad^*

^*Corresponding author for this work

University of Alberta

Research output: Contribution to journal › Article › peer-review

29 Citations (Scopus)

Abstract

In industry, damaged parts are difficult to be replaced. Remanufacturing is a technique that gives a new life to a product. However, remanufacturing of a complex damaged part with various defects is not easy to develop and mostly a single process. In this paper, a hybrid method is proposed which integrates coordinate measuring machine (CMM) data collection, defective model regeneration, and decision making for process selection for the repair, such as materials addition with 3D printing or material removal with machining. The proposed method is demonstrated to repair a turbine blade virtual model to test its efficiency and reliability.

Original language	English
Pages (from-to)	38-41
Number of pages	4
Journal	Manufacturing Letters
Volume	15
DOIs	https://doi.org/10.1016/j.mfglet.2018.02.010
Publication status	Published - Jan 2018
Externally published	Yes

Keywords

3D-printing
CNC machining
Decision making
Remanufacturing
Reverse engineering

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10.1016/j.mfglet.2018.02.010

Cite this

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title = "Algorithm for remanufacturing of damaged parts with hybrid 3D printing and machining process",

abstract = "In industry, damaged parts are difficult to be replaced. Remanufacturing is a technique that gives a new life to a product. However, remanufacturing of a complex damaged part with various defects is not easy to develop and mostly a single process. In this paper, a hybrid method is proposed which integrates coordinate measuring machine (CMM) data collection, defective model regeneration, and decision making for process selection for the repair, such as materials addition with 3D printing or material removal with machining. The proposed method is demonstrated to repair a turbine blade virtual model to test its efficiency and reliability.",

keywords = "3D-printing, CNC machining, Decision making, Remanufacturing, Reverse engineering",

author = "Yufan Zheng and Qureshi, {A. J.} and Rafiq Ahmad",

note = "Publisher Copyright: {\textcopyright} 2018 Society of Manufacturing Engineers (SME)",

year = "2018",

month = jan,

doi = "10.1016/j.mfglet.2018.02.010",

language = "English",

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pages = "38--41",

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AU - Zheng, Yufan

AU - Qureshi, A. J.

AU - Ahmad, Rafiq

PY - 2018/1

Y1 - 2018/1

N2 - In industry, damaged parts are difficult to be replaced. Remanufacturing is a technique that gives a new life to a product. However, remanufacturing of a complex damaged part with various defects is not easy to develop and mostly a single process. In this paper, a hybrid method is proposed which integrates coordinate measuring machine (CMM) data collection, defective model regeneration, and decision making for process selection for the repair, such as materials addition with 3D printing or material removal with machining. The proposed method is demonstrated to repair a turbine blade virtual model to test its efficiency and reliability.

AB - In industry, damaged parts are difficult to be replaced. Remanufacturing is a technique that gives a new life to a product. However, remanufacturing of a complex damaged part with various defects is not easy to develop and mostly a single process. In this paper, a hybrid method is proposed which integrates coordinate measuring machine (CMM) data collection, defective model regeneration, and decision making for process selection for the repair, such as materials addition with 3D printing or material removal with machining. The proposed method is demonstrated to repair a turbine blade virtual model to test its efficiency and reliability.

KW - 3D-printing

KW - CNC machining

KW - Decision making

KW - Remanufacturing

KW - Reverse engineering

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VL - 15

SP - 38

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JO - Manufacturing Letters

JF - Manufacturing Letters

ER -

Algorithm for remanufacturing of damaged parts with hybrid 3D printing and machining process

Abstract

Keywords

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