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Journal Articles
Accepted Manuscript
Article Type: Research Papers
J. Manuf. Sci. Eng.
Paper No: MANU-22-1351
Published Online: January 24, 2023
Journal Articles
Accepted Manuscript
Article Type: Review Articles
J. Manuf. Sci. Eng.
Paper No: MANU-22-1417
Published Online: January 24, 2023
Journal Articles
Accepted Manuscript
Article Type: Research Papers
J. Manuf. Sci. Eng.
Paper No: MANU-22-1548
Published Online: January 24, 2023
Journal Articles
Accepted Manuscript
Article Type: Research Papers
J. Manuf. Sci. Eng.
Paper No: MANU-22-1590
Published Online: January 24, 2023
Journal Articles
Accepted Manuscript
Article Type: Editorial
J. Manuf. Sci. Eng.
Paper No: MANU-23-1031
Published Online: January 24, 2023
Journal Articles
Article Type: Research Papers
J. Manuf. Sci. Eng. May 2023, 145(5): 051004.
Paper No: MANU-22-1369
Published Online: January 19, 2023
Journal Articles
Ming Wu, Muhammad Hazak Arshad, Krishna Kumar Saxena, Dominiek Reynaerts, Zhongning Guo, Jiangwen Liu
Article Type: Research Papers
J. Manuf. Sci. Eng. May 2023, 145(5): 051006.
Paper No: MANU-22-1314
Published Online: January 19, 2023
Journal Articles
Article Type: Research Papers
J. Manuf. Sci. Eng. May 2023, 145(5): 051002.
Paper No: MANU-22-1525
Published Online: January 19, 2023
Image
in Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes
> Journal of Manufacturing Science and Engineering
Published Online: January 19, 2023
Fig. 1 Overview of privacy-preserving collaborative process-defect modeling utilizing ADDAM. This process can be independently applied for multiple AM users, where the de-identified data can be aggregated and used to develop more robust privacy-preserving collaborative models. More
Image
in Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes
> Journal of Manufacturing Science and Engineering
Published Online: January 19, 2023
Fig. 2 Current risk of externally shared or aggregated AM process data More
Image
in Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes
> Journal of Manufacturing Science and Engineering
Published Online: January 19, 2023
Fig. 3 Key steps of AM and data generated More
Image
in Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes
> Journal of Manufacturing Science and Engineering
Published Online: January 19, 2023
Fig. 4 Melt pool angular orientation and printing path: ( a ) θ = 0 deg, ( b ) θ = 60 deg, ( c ) θ = 180 deg, and ( d ) θ = 300 deg More
Image
in Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes
> Journal of Manufacturing Science and Engineering
Published Online: January 19, 2023
Fig. 5 Overview of the ADDAM methodology More
Image
in Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes
> Journal of Manufacturing Science and Engineering
Published Online: January 19, 2023
Fig. 6 The pseudocode of the ADDAM Algorithm More
Image
in Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes
> Journal of Manufacturing Science and Engineering
Published Online: January 19, 2023
Fig. 7 Experimental setup and data collection methods More
Image
in Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes
> Journal of Manufacturing Science and Engineering
Published Online: January 19, 2023
Fig. 8 Data splitting for scenario I and scenario II More
Image
in Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes
> Journal of Manufacturing Science and Engineering
Published Online: January 19, 2023
Fig. 9 Hyperparameter tuning for distance constraint ( M ) and layer constraint (Δ l ) constraints for scenario I ( a ) and scenario II ( b ) More
Image
in Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes
> Journal of Manufacturing Science and Engineering
Published Online: January 19, 2023
Fig. 10 Global k benchmark method tuning for various k values for scenario I ( a ) and scenario II ( b ) More
Image
in Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes
> Journal of Manufacturing Science and Engineering
Published Online: January 19, 2023
Fig. 11 Pareto front comparison during the parameter tuning (using T ) for the ADDAM and global k in scenario I (A) and scenario II (B). This details all possible solutions for the different combinations of tuning parameters for ADDAM, and highlights the Pareto optimal solutions, which ... More
Image
in Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes
> Journal of Manufacturing Science and Engineering
Published Online: January 19, 2023
Fig. 12 Pareto front comparison evaluating testing data ( E ) using Pareto efficient solutions identified in Fig. 10 , for ADDAM and global k in scenario I (A) and scenario II (B). This details the performance of the optimally selected tuning parameters from Fig. 11 on the testing... More