Packaging Technology and Science · 2009 · 11 citations · 13 references
EngineeringMaterials EngineeringSystems EngineeringFinite Element AnalysisManufacturing SystemsPackaging DesignManufacturing SimulationPackage DesignPackaging EngineeringPackaging ManagementPackaging MaterialsProcess SimulationConsumer Goods ProductionInterfacial InteractionsMaterial InteractionsPackaging MachineryPackaging Waste GenerationPackaging Waste ReductionPackingSimulation Of Manufacturing Systems
Abstract The introduction of legislation to minimize packaging waste requires consumer goods manufacturers to use lighter‐weight materials and increase the use of recycled materials. This is demanding that machinery manufacturers provide highly flexible machines and tooling capable of handling these materials and new package designs. However, the ability of manufacturers to achieve this is all but prevented by a lack of fundamental understanding of machine–material interactions and an ability to generate such understanding. One way to overcome this is to use advanced simulation tools to represent the whole system including machine, process, materials and product. A finite element‐based simulation has been created to represent the in‐process behaviour of a packing system. The simulation focuses on the critical transition between flattened and erected states of a carton. In order to successfully simulate such a complex process, there are a number of major challenges concerning the representation of packaging materials and their properties, changing material behaviour during processing, machinery simulation and process modelling (simulating the interfacial interactions that take place during processing). The application of the whole‐system simulation for the purposes of improved design and operation are discussed with respect to four activities: design and set‐up of tooling, determination of optimal process settings, specification of material properties and the design of the pack. In all cases, a strong correlation was observed between the theoretical results and those obtained practically, thereby enabling quantitative understanding and quantitative rules to be generated. Copyright © 2009 John Wiley & Sons, Ltd.
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Hyun-Ho Choi, Sang-Moon Hwang, Yoon‐Hee Kang et al. · The International Journal of Advanced Manufacturing Technology · 2002 · 72 citations
Engineering, Automotive Engineering, Mechanical Engineering +13