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1、3600 英文單詞, 英文單詞,19500 英文字符,中文 英文字符,中文 5600 字文獻(xiàn)出處: 文獻(xiàn)出處:Meekers I, Refalo P, Rochman A. Analysis of Process Parameters affecting Energy Consumption in Plastic Injection Moulding[J]. Procedia CIRP, 2018, 69: 342-347.Analys

2、is of Process Parameters affecting Energy Consumption in Plastic Injection MouldingIsaac Meekers, Paul Refalo, Arif RochmanAbstractSustainable manufacturing has become essential amongst industries of all types due to the

3、 diminishing non-renewable sources and an ever- increasing demand for environmentally friendly products. Injection moulding is one of the most widely used processes for the production of plastic products and is a large c

4、onsumer of energy. Energy efficiency has become a serious concern due to the rising energy costs and the associated environmental impacts. IEA (2007) reports that one third of the global energy consumption and 36 percent

5、 of C0? emissions are attributed to the manufacturing sector. The aim of this study was to optimize the injection moulding process in order to reduce energy consumption whilst also ensuring no loss in part quality. This

6、was achieved by investigating the impacts of cooling time, screw rotational speed, mould temperature and nozzle temperature. It was found that the cooling time and the nozzle temperature had the greatest impact on energy

7、 consumption. The mass and length of the part were not affected by any of the parameters within the selected processing windows, while the surface roughness was slightly influenced by the mould temperature range. Results

8、 indicated a possibility of using lower cycle times and lower nozzle temperatures to decrease energy consumption without having adverse impact on part quality. When comparing the energy consumption while using process pa

9、rameters set at their minimum values compared to midpoint values, savings of 14 percent were achieved.Keywords: Sustainability; Energy Consumption; Sustainable Manufacturing; Injection Moulding; Process Parameter Optimiz

10、ation1. IntroductionIndustry has a key role to play in the transformation of our society towards sustainability. Energy and resource efficiency are acknowledged as the main drivers to establish an environmentally less da

11、maging economy [1].The energy sector is responsible for around two thirds of all greenhouse gas emissions induced by human activities. In 2012, the industrial sector was responsible for approximately 25 percent of the to

12、tal energy consumption in Europe, and 28 percent on a world scale [2]. Furthermore, IEA (2007) found that 36 percent of global C02 emissions was attributed to industrial processes. IEA also determined that C02 energy rel

13、ated emissions reached a new high of 31.6Gt in 2012 [3]. As human beings constantly seek to enhance the quality of life, manufacturers are pressed to satisfy this demand whilst using less raw material as well as reducing

14、 waste and emitted pollutants. Hence, the energy efficiency of processes and products has become an essential feature and a competitive differentiator.NomenclatureTm Nozzle TemperatureSr Screw Rotational Speed Tmo Mould

15、Temperaturetc Cooling timetest called the Euromap-60.2. Tests were carried out on six hydraulic injection moulding machines and their energy profile over one complete cycle was measured in five second intervals using a T

16、ES-3600 power analyser. Results showed that the cycle time has a significant impact on the Specific Energy Consumption (SEC) [7]. By reducing the cycle time, the operation time of the motors and pumps is also reduced and

17、 according to Muller et al. this can be achieved by reducing the cooling and holding times. The results confirming this relationship are shown in Table 1.Table 1 - Relationship between Cycle Time and SEC [7]Injection Mou

18、lding Machine Cycle Time (s) SEC (kWh/kg)Machine A 100 0.748Machine B 120 0.776Machine C 120 0.924Machine D 100 0.724Machine E 120 1.739Machine F 70 0.540Another study conducted by Muller et al. assessed the process of i

19、njection moulding Polybutylene Terephthalate (PBT) parts using dual electrical energy signatures. The dual energy signature method involves comparing the power curves of a single processing cycle to a cycle without mater

20、ial (air filling) in order to establish value adding (VA) and non- value (NVA) adding elements in the process. By superimposing the power profile graphs of the two processing cycles the value adding and non-value adding

21、elements were determined. The results showed that, in terms of energy, a low value adding efficiency of 23% was obtained. The authors then attempted enhance the efficiency of the process by reducing the process time thro

22、ugh optimising the holding time and cooling time as well as decreasing the power level. They found that the cycle time could be reduced by 7.7s compared to using the recommended settings. Muller et al. stated that this w

23、ould result in a saving time of approximately 15% as well as an energy saving of around 15% [8].Qureshi et al. made use of an empirical method to obtain a relationship between the process variables and the energy consump

24、tion. Factors such as the clamping pressure, injection pressure, holding pressure, decompression pressure, injection speed, decompression speed and dosing speed were controlled. SEC was chosen as the response variable a

25、nd was calculated from the mass, power and cycle time. Power consumption was recorded every 0.1 s. Upon determining the power consumption, the authors computed the SEC values and concluded that the throughput was the mo

26、st important factor affecting energy consumption. Qureshi et al. found that the variation of the process parameters alone had no significant impact on the energy consumption as the fixed power dominated the SEC and the f

27、actors has minimal impact on the cycle time or throughput [9].2.3 Impact of process parameters on quality criteriaBesides a vast amount of research in energy consumption in the field of injection moulding, there also exi

28、st studies on various quality criteria. Manufacturers consider the cycle time to be critical to their success. However, based on customer demand, it is also critical to offer better quality at the minimum product cost. I

29、n injection moulding, some quality characteristics include mechanical properties, dimensional conformity and surface appearance.Bano et al. made use of Response Surface Methodology (RSM) to optimize the injection mouldin

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