Semi-empirical Modeling of the Energy Consumed during the Injection Molding Process

Chien, Joshua; Dornfeld, David

doi:10.1007/978-981-4451-48-2_49

Cited by 10 publications

(4 citation statements)

References 8 publications

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“…Chien and Dornfeld used a similar model, based on the thermo-mechanical properties of different polymers. 30 Note that the energy distribution may differ with respect to the machine type and materials used; additionally, the energy consumed in melting the material exhibited a significant dependence on the material properties. The total energy consumed during the injection-molding process includes the energy consumed in mold making, as given below:…”

mentioning

confidence: 99%

A comparison of energy consumption in bulk forming, subtractive, and additive processes: Review and case study

Yoon

Lee

Kim

et al. 2014

Int. J. of Precis. Eng. and Manuf.-Green Tech.

275

109

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In addition to the steps taken to ensure optimal efficiency in industry, significant effort has been directed towards the green and sustainable manufacturing practices. In this paper, we review conventional and state-of-the-art manufacturing technologies to provide insight into energy consumption at the processing level. In the review, collected energy data were summarized for three manufacturing categories: conventional bulk-forming, subtractive, and additive manufacturing (AM) processes. Additive processes, in particular, are strongly emphasized in the Advanced Manufacturing Initiatives proposed recently by the United States government. Currently, the specific energy consumption (SEC) of additive processes is estimated to be ~100-fold higher than that of conventional bulk-forming processes, with subtractive processes showing intermediate values that varied over a wide range in terms of scale. Although SEC may vary with respect to the details, in general, the research showed a negative correlation with respect to the reciprocal logarithmic form of the productivity. In addition to the literature review presented, we performed case studies for the three manufacturing processes, to provide practical examples of energy consumption. Additionally, our results indicated that AM processes may require more extensive evaluation; i.e., an assessment of the entire manufacturing cycle, for more accurate prediction of the subsequent environmental impact.

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mentioning

confidence: 99%

A comparison of energy consumption in bulk forming, subtractive, and additive processes: Review and case study

Yoon

Lee

Kim

et al. 2014

Int. J. of Precis. Eng. and Manuf.-Green Tech.

275

109

View full text Add to dashboard Cite

show abstract

“…Furthermore, by simultaneously evaluating the throughput amount and energy consumption, we are able to calculate the specific energy consumption, which is a representative index for evaluating the productivity and total energy consumption. The specific energy consumption is an index evaluating the amount of energy consumption per product, and it is calculated from the amount of throughput P [product] and the energy consumption amount E [J] using equation (1).…”

Section: Proposal Of the Evaluation Methods Of Productivity And Energymentioning

confidence: 99%

“…Concerning studies on evaluation of energy consumption of injection molding machine, there were three types of the studies. The first type is to focus on evaluating energy consumption of physical phenomenon in injection molding processes such as plastic resin dissolution phenomenon, plasticization phenomenon and so on [1] [2][3] [4]. The second type is to focus on considering the life cycle Assessment (LCA) in injection molding processes using real measurement data [5] [6].…”

Section: Introductionmentioning

confidence: 99%

Simulation Method for Evaluation of Productivity and Energy Consumption Concerning Production Line for Injection Molding Machines

Takasaki

Hibino

Kaifuku³

et al. 2017

Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing

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Methods for evaluating productivity and energy consumption simultaneously have been getting significant interest in the industry. In particular, although injection molding machines are important system components for production in plastic molding, a method for simultaneously evaluating their productivity and energy consumption has not been established. Therefore, we propose a simulation method that is based on a state transition model containing state transitions and states of machines in an injection molding production line.

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“…This matrix can be matched with information about energy consumption of its components for the different operation states and with the sequence of a process chain to forecast the energy consumption pattern. The additional application of artificial neural networks by [22] and [23] allows to detect and to evaluate correlations between specific parameters and the energy consumption. Hence these methods are able to forecast energy consumption of machine tools more precisely and under deviating conditions, if a great amount of data is available.…”

Section: Existing Prognosis Methods For Energy Consumption Patternsmentioning

confidence: 99%

Comparison of Prognosis Methods for the Energy Consumption of Machines and Further Development with Regard to Increasing Data Availability

Müller

Tauschek

Glasschröder

et al. 2016

AMM

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An increasing number of companies establish energy management systems for continuous improvement in their energy efficiency and for this intensify monitoring their current energy consumption. These data can be used to gain further information about the production and to find potentials to increase its energy efficiency. In the procurement process of machinery and equipment or in the planning phase of production systems and building services, information about energy demand is rarely available, though it would be valuable for an early inclusion of energy efficiency in these processes. Therefore this paper discusses different forecast methods for energy consumption of machinery and evaluates in particular their universal applicability, effort and accuracy by analyzing them through the example of a packaging machine. In addition this paper proposes a further usage of energy-related data of machinery, which can be automatically acquired by monitoring systems for prognosticating their energy consumption as well as a possible distribution approach of this information. Therefore an own forecast method is presented, which shall process the energy-related data combined with information about dominant parameters of the product, the usage of the machine and the environmental conditions. For the distribution concept it was taken into account that the generated and shared information has to be abstracted in a way that no critical secrets of the company are revealed.

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Semi-empirical Modeling of the Energy Consumed during the Injection Molding Process

Cited by 10 publications

References 8 publications

A comparison of energy consumption in bulk forming, subtractive, and additive processes: Review and case study

A comparison of energy consumption in bulk forming, subtractive, and additive processes: Review and case study

Simulation Method for Evaluation of Productivity and Energy Consumption Concerning Production Line for Injection Molding Machines

Comparison of Prognosis Methods for the Energy Consumption of Machines and Further Development with Regard to Increasing Data Availability

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