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Injection moulding is a widely used method for manufacturing plastic components, with the quality of the final product depending on various process factors managed throughout the procedure. Integrating sustainable manufacturing practices is crucial for mitigating ecological impacts while maintaining product excellence. Manufacturers need to balance product quality, procedural effectiveness, and environmental impact by evaluating how each parameter affects the product's quality and ecological footprint. While many focus on optimising process parameters, fewer consider integrating sustainability competency, which also affects parameter performance. This study aims to advance understanding by conducting experiments and analyses on these factors' influence on product quality. The incorporation of sustainability competency aims to empower individuals and entities to make informed choices that align with environmental, societal, and economic factors for a more sustainable and accountable future. The optimised model, with an error of less than 1%, quantifies the competency value bridging mechanical properties and comprehensive competency by integrating attitudinal factors. Parameter selection through Design of Experiments (DOE) and expert elicitation method contribute to this integration. Evolution from the foundational to the proficient model includes operational team and sustainability competency descriptors, providing context for innovation and knowledge creation highly valued by employers and stakeholders in a productive and streamlined setting. Additionally, this research contributes to the advancement of smart grid and sustainable energy applications by promoting energy-efficient manufacturing processes. By integrating renewable energy sources and smart grid technologies, the injection moulding industry can achieve significant reductions in energy consumption and greenhouse gas emissions. This integration not only enhances the sustainability of manufacturing processes but also supports the broader transition to a more resilient and eco-friendly energy system.
Injection moulding is a widely used method for manufacturing plastic components, with the quality of the final product depending on various process factors managed throughout the procedure. Integrating sustainable manufacturing practices is crucial for mitigating ecological impacts while maintaining product excellence. Manufacturers need to balance product quality, procedural effectiveness, and environmental impact by evaluating how each parameter affects the product's quality and ecological footprint. While many focus on optimising process parameters, fewer consider integrating sustainability competency, which also affects parameter performance. This study aims to advance understanding by conducting experiments and analyses on these factors' influence on product quality. The incorporation of sustainability competency aims to empower individuals and entities to make informed choices that align with environmental, societal, and economic factors for a more sustainable and accountable future. The optimised model, with an error of less than 1%, quantifies the competency value bridging mechanical properties and comprehensive competency by integrating attitudinal factors. Parameter selection through Design of Experiments (DOE) and expert elicitation method contribute to this integration. Evolution from the foundational to the proficient model includes operational team and sustainability competency descriptors, providing context for innovation and knowledge creation highly valued by employers and stakeholders in a productive and streamlined setting. Additionally, this research contributes to the advancement of smart grid and sustainable energy applications by promoting energy-efficient manufacturing processes. By integrating renewable energy sources and smart grid technologies, the injection moulding industry can achieve significant reductions in energy consumption and greenhouse gas emissions. This integration not only enhances the sustainability of manufacturing processes but also supports the broader transition to a more resilient and eco-friendly energy system.
This research investigates the correlation between polymer melt viscosity, tensile properties, and injection molding energy consumption for three grades of polypropylene: a virgin grade, a recycled grade, and a modified recycled grade. Cold runner and hot runner molds are considered. The experiments focus on characterizing the thermal and mechanical energy drawn by the injection molding machine during the cycle. The data collected from the experiments are used to calculate the embodied energy as a function of the polymer viscosity and processing conditions. The analysis of the relationship between polymer rheology and processing provided guidelines for the molded parts’ embodied energy and mechanical characteristics. These guidelines and estimation techniques will support sustainable design for manufacturing practices.
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