Combining digital twin and soft computing to optimize the performance of a real manufacturing system
2020 (English)Independent thesis Advanced level (degree of Master (One Year)), 12 credits / 18 HE credits
Student thesis
Abstract [en]
Concern about limited energy resources extend to politicians, academia and industry who pursue the efficient use of energy. Part of this is due to that society is becoming increasingly sensitive to the environmental impact. The advance in process simulation and digital twin's technologies allows the creation of virtual models that simulate accurately real systems. The question investigated throughout this paper is: what is the best configuration and time sequence for a robot to minimise energy consumption? In this case, a virtual model that replicates a production cell and an optimisation Add-in are used to analyse and optimise the energy consumption of a robot application. The impact on energy consumption of various aspect as timing or acceleration of the robot is studied.
All experiments have been compared with a reference case, called base case, then different scenarios havebeen created.
As a conclusion, it has been demonstrated that when the time constraints of the production process allows therobot to work at lower velocity and acceleration, energy will be reduced. This improvement in energy consumption come at a cost, reducing production throughput of the production cell.
Place, publisher, year, edition, pages
2020. , p. 48
Keywords [en]
Digital twin, optimisation, simulation, production system
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:his:diva-19164OAI: oai:DiVA.org:his-19164DiVA, id: diva2:1474970
External cooperation
Leax Group
Subject / course
Virtual Product Realization
Supervisors
Examiners
2020-10-122020-10-122025-09-29Bibliographically approved