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Journal Articles
Rapid Commissioning of Large Machine Tools Using Finite Element-Based Correction of Geometric Errors
Available to Purchase
Accepted Manuscript
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng.
Paper No: MANU-25-1267
Published Online: July 9, 2025
Journal Articles
Rib Folding Defect Prediction of Spin-Extrusion Forming Processing of Thin-Walled Cylindrical Rings With External Cross Ribs
Available to Purchase
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. August 2025, 147(8): 081010.
Paper No: MANU-24-1729
Published Online: June 27, 2025
Journal Articles
Layer-Wise Emission Prediction for Laser Powder Bed Fusion With an Attribution-Based Explainable Deep Learning Model
Available to Purchase
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. August 2025, 147(8): 081011.
Paper No: MANU-25-1177
Published Online: June 27, 2025
Journal Articles
Self-Supported Printing of Gelatin Composite-Based Engineered Living Materials
Available to PurchaseAyman Alghamdi, Chuanshen Zhou, Ali T. Shams, John-Thomas T. Robinson, Renjing Wang, Taylor Rawlinson, Hitomi Yamaguchi, Yong Huang
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. September 2025, 147(9): 091005.
Paper No: MANU-25-1196
Published Online: June 27, 2025
Journal Articles
Cognitive Digital Twin for Multiobjective Production Scheduling
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Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. September 2025, 147(9): 091004.
Paper No: MANU-25-1060
Published Online: June 27, 2025
Journal Articles
DATA-DRIVEN OPTIMIZATION OF BIOINK FORMULATIONS FOR EXTRUSION-BASED BIOPRINTING: A PREDICTIVE MODELING APPROACH
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Accepted Manuscript
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng.
Paper No: MANU-25-1195
Published Online: June 27, 2025
Journal Articles
Material Behavior of Magneto-Responsive Polymer Composites in Extrusion-Based Direct Writing
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Accepted Manuscript
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng.
Paper No: MANU-25-1202
Published Online: June 27, 2025
Image
Illustration of cyber-physical interaction between digital twin and physica...
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in Cognitive Digital Twin for Multiobjective Production Scheduling
> Journal of Manufacturing Science and Engineering
Published Online: June 27, 2025
Fig. 1 Illustration of cyber-physical interaction between digital twin and physical twin More about this image found in Illustration of cyber-physical interaction between digital twin and physica...
Image
Illustration of CDT and heterogeneous agents with embedded cognitive intell...
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in Cognitive Digital Twin for Multiobjective Production Scheduling
> Journal of Manufacturing Science and Engineering
Published Online: June 27, 2025
Fig. 2 Illustration of CDT and heterogeneous agents with embedded cognitive intelligence of perception, situational understanding, learning, and reasoning to optimize actions under disruptions More about this image found in Illustration of CDT and heterogeneous agents with embedded cognitive intell...
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Cognitive decision process for multi-objective production scheduling
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in Cognitive Digital Twin for Multiobjective Production Scheduling
> Journal of Manufacturing Science and Engineering
Published Online: June 27, 2025
Fig. 3 Cognitive decision process for multi-objective production scheduling More about this image found in Cognitive decision process for multi-objective production scheduling
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Experimental configuration of cyber-physical twins in case studies includin...
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in Cognitive Digital Twin for Multiobjective Production Scheduling
> Journal of Manufacturing Science and Engineering
Published Online: June 27, 2025
Fig. 4 Experimental configuration of cyber-physical twins in case studies including 20 machines (9 lathes, 4 milling machines, 3 drills, 3 welders, and 1 AGV charging station) and 6 AGVs for material handling More about this image found in Experimental configuration of cyber-physical twins in case studies includin...
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Experimental design for (a) evaluating role-specific impacts on KPIs (i.e.,...
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in Cognitive Digital Twin for Multiobjective Production Scheduling
> Journal of Manufacturing Science and Engineering
Published Online: June 27, 2025
Fig. 5 Experimental design for ( a ) evaluating role-specific impacts on KPIs (i.e., productivity, task transition, workload balance, and transport efficiency) and ( b ) benchmarking with conventional scheduling methods More about this image found in Experimental design for (a) evaluating role-specific impacts on KPIs (i.e.,...
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Impacts of role-specific objective weights α S (Sender focus), ...
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in Cognitive Digital Twin for Multiobjective Production Scheduling
> Journal of Manufacturing Science and Engineering
Published Online: June 27, 2025
Fig. 6 Impacts of role-specific objective weights α S ( Sender focus), α R ( Receiver focus), and α D ( Deliverer focus) on KPIs: ( a ) system productivity (measured as TIS) ( b ) task transition congestion (Queue-Out lengths) ( c ) workload balance (variance of Queue... More about this image found in Impacts of role-specific objective weights α S (Sender focus), ...
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Performance comparison of average TIS (time in system) across different sch...
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in Cognitive Digital Twin for Multiobjective Production Scheduling
> Journal of Manufacturing Science and Engineering
Published Online: June 27, 2025
Fig. 7 Performance comparison of average TIS (time in system) across different scheduling approaches under varying job IATs and AGV counts, with ( a ) n A G V = 4 , ( b ) n A G V = 5 , and ( c ) n A G V = 6 , respectively More about this image found in Performance comparison of average TIS (time in system) across different sch...
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Performance comparison of KPIs—(1) task transition congestion ( Q ¯ ...
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in Cognitive Digital Twin for Multiobjective Production Scheduling
> Journal of Manufacturing Science and Engineering
Published Online: June 27, 2025
Fig. 8 Performance comparison of KPIs—(1) task transition congestion ( Q ¯ O U T ), (2) workload balance ( W B ¯ ), and (3) transport efficiency ( T E I ¯ )—across different scheduling approaches under varying scenarios: ( a ) n A G V = 6 and... More about this image found in Performance comparison of KPIs—(1) task transition congestion ( Q ¯ ...
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Comparison of system throughput (number of finished jobs ( n J o b ...
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in Cognitive Digital Twin for Multiobjective Production Scheduling
> Journal of Manufacturing Science and Engineering
Published Online: June 27, 2025
Fig. 9 Comparison of system throughput (number of finished jobs ( n J o b )) across different scheduling approaches under varying scenarios of job IATs and AGV counts, where ( a ) n A G V = 4 , ( b ) n A G V = 5 , and ( c ) n A G V = 6 More about this image found in Comparison of system throughput (number of finished jobs ( n J o b ...
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LPBF experimental arrangement with the pyrometry sensor data collection [ 1...
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in Layer-Wise Emission Prediction for Laser Powder Bed Fusion With an Attribution-Based Explainable Deep Learning Model
> Journal of Manufacturing Science and Engineering
Published Online: June 27, 2025
Fig. 1 LPBF experimental arrangement with the pyrometry sensor data collection [ 18 ] More about this image found in LPBF experimental arrangement with the pyrometry sensor data collection [ 1...
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Methodology architecture for layer-wise emission prediction with explainabl...
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in Layer-Wise Emission Prediction for Laser Powder Bed Fusion With an Attribution-Based Explainable Deep Learning Model
> Journal of Manufacturing Science and Engineering
Published Online: June 27, 2025
Fig. 2 Methodology architecture for layer-wise emission prediction with explainable artificial intelligence where ( a ) is the non-interpretable flowchart and ( b ) is the explainable artificial intelligence framework More about this image found in Methodology architecture for layer-wise emission prediction with explainabl...
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Global mean absolute value plots for (a) SHAP, (b) IG, and (c) LIME
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in Layer-Wise Emission Prediction for Laser Powder Bed Fusion With an Attribution-Based Explainable Deep Learning Model
> Journal of Manufacturing Science and Engineering
Published Online: June 27, 2025
Fig. 3 Global mean absolute value plots for ( a ) SHAP, ( b ) IG, and ( c ) LIME More about this image found in Global mean absolute value plots for (a) SHAP, (b) IG, and (c) LIME
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Heat maps for boxes 6, 9, and 10 from (a)–(c) SHAP, (d)–(f) IG, and (g)–(i)...
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in Layer-Wise Emission Prediction for Laser Powder Bed Fusion With an Attribution-Based Explainable Deep Learning Model
> Journal of Manufacturing Science and Engineering
Published Online: June 27, 2025
Fig. 4 Heat maps for boxes 6, 9, and 10 from ( a )–( c ) SHAP, ( d )–( f ) IG, and ( g )–( i ) LIME More about this image found in Heat maps for boxes 6, 9, and 10 from (a)–(c) SHAP, (d)–(f) IG, and (g)–(i)...
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