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A Mathematical Programming Model for Minimizing Energy Consumption on a Selective Laser Melting Machine
by
Lin, Junjie
, Yu, Chunlong
in
3D printing
/ Additive manufacturing
/ Batch processing
/ Cost control
/ Efficiency
/ Electricity
/ Energy consumption
/ energy saving
/ Genetic algorithms
/ Heuristic
/ Integer programming
/ Laser beam melting
/ Lasers
/ Linear programming
/ Mathematical programming
/ Mixed integer
/ Nesting
/ Scheduling
/ selective laser melting
2024
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A Mathematical Programming Model for Minimizing Energy Consumption on a Selective Laser Melting Machine
by
Lin, Junjie
, Yu, Chunlong
in
3D printing
/ Additive manufacturing
/ Batch processing
/ Cost control
/ Efficiency
/ Electricity
/ Energy consumption
/ energy saving
/ Genetic algorithms
/ Heuristic
/ Integer programming
/ Laser beam melting
/ Lasers
/ Linear programming
/ Mathematical programming
/ Mixed integer
/ Nesting
/ Scheduling
/ selective laser melting
2024
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Do you wish to request the book?
A Mathematical Programming Model for Minimizing Energy Consumption on a Selective Laser Melting Machine
by
Lin, Junjie
, Yu, Chunlong
in
3D printing
/ Additive manufacturing
/ Batch processing
/ Cost control
/ Efficiency
/ Electricity
/ Energy consumption
/ energy saving
/ Genetic algorithms
/ Heuristic
/ Integer programming
/ Laser beam melting
/ Lasers
/ Linear programming
/ Mathematical programming
/ Mixed integer
/ Nesting
/ Scheduling
/ selective laser melting
2024
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A Mathematical Programming Model for Minimizing Energy Consumption on a Selective Laser Melting Machine
Journal Article
A Mathematical Programming Model for Minimizing Energy Consumption on a Selective Laser Melting Machine
2024
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Overview
The scheduling problem in additive manufacturing is receiving increasing attention; however, few have considered the effect of scheduling decisions on machine energy consumption. This research focuses on the nesting and scheduling problem of a single selective laser melting (SLM) machine to reduce total energy consumption. Based on an energy consumption model, a nesting and scheduling problem is formulated, and a mixed integer linear programming model is proposed. This model simultaneously determines part-to-batch assignments, part placement in the batch, and the choice of build orientation to reduce the total energy consumption of the SLM machine. The energy-saving potential of the model is validated through numerical experiments. Additionally, the effect of the number of alternative build orientations on energy consumption is explored.
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