Papers by Keyword: Power Consumption

Abstract: Process speed in pultrusion is significantly influenced by the exothermic reactions of the matrix materials used. The main reaction zone (gel zone) is a key indicator to describe and interpret the reaction behavior in pultrusion. It can be easily observed by elevated temperatures in the die, particularly for highly exothermic thermoset matrices like vinyl ester, epoxy, and polyurethane. However, this effect is not as pronounced in reactive thermoplastics. The exothermic reactions contribute to a reduction in power consumption of the heating plates within the different heating zones, each with its individual temperature. Analyzing the power consumption of the individual heating zones across different process parameter settings allows to determine the position of the gel zone. This information is foundational for pultrusion process optimization, as it allows for more efficient utilization of the die length, ultimately increasing the pull speeds and enabling higher production rates. In this study, a comparative analysis of the power consumption across the heating zones was performed. To validate the findings obtained from the power measurements, thermocouples were drawn through the die at the same process parameters to accurately measure the temperature evolution within the pultruded profile throughout the die length.

Abstract: In automated melt-casted Aluminium production process, lots of carbon dioxides are emitted. How to accurately calculate those carbon emissions is a challenging problem. In this paper, we mainly introduce a carbon emission calculation method based on global power consumption for the automated melt-casted Aluminium production process. Firstly, we analyse the carbon life cycle of the melt-casted Aluminium products and the carbon emission calculation boundary. Then, the power consumption based-calculation method of the carbon emissions of different stages of the melt-casted Aluminium product are explained in detail and finally, the total emissions are offered. The simulation results indicate that the global power consumption based-carbon emission calculation method works well in the automated melt-casted Aluminium product process.

Abstract: Universities are significant energy consumers, and effective energy management is important for sustainability and cost reduction. This article explores the role of energy audits in helping universities improve their energy management and sustainability practices. It analyzes research from 2010 to 2024 to identify various energy auditing techniques, tools, and methodologies used by different institutions. The article demonstrates how diverse auditing approaches can uncover energy inefficiencies and propose practical solutions. Key findings indicate that thorough energy audits are important for promoting sustainability goals through improved energy efficiency and waste reduction. However, universities face challenges in implementing audit recommendations due to infrastructure limitations and technological constraints. The review emphasizes the essential role of energy auditing in enhancing both environmental and economic performance and underscores the importance of ongoing innovation and adaptation in energy auditing practices. In conclusion, the article suggests exploring new technologies and improving auditing techniques to better support sustainability efforts in universities.

Abstract: Waste management has been a major concern in the society and agricultural wastes can be utilized in the synthesis of nanoparticles and deployed in the vapour compression refrigeration system (VCRS) to enhance its performance. This study analysed the thermophysical properties, performance, energy consumption, pull-down time, and capacities of VCRS using bio-nanoparticles produced from orange and pineapple peels. Eco-friendly refrigerants R600a and R134a with pure polyolester (POE) as the lubricating oil for the compressor were used. The nanolubricants were dispersed in three volume fractions of 0.05%, 0.10% and 0.20% concentration in the lubricant using the two-step method. The degradation of nanolubricants were analysed by examining the thermophysical properties of the nanolubricants before and after use in the VCRS. At 0.2% volume concentration, optimum COP of 6.31 and 5.01 were obtained for pineapple and orange peels respectively for R600a. The nanolubricants of orange peels with the volume fraction of 0.2% had the best pull-down time with a temperature of-2oC. The lowest power consumption was observed for 0.1% volume concentration of pineapple nanolubricants while 0.2% volume concentration of orange nanolubricants was observed to have the least power consumption. Considering the R134a refrigerant, the volume concentration with the optimum COP was 0.1 vol% concentration for the orange bio-based nanolubricants with an increase in the COP of 36.3% when compared with pure R134a while 0.2 vol% had the best pull-down time with a temperature of-3oC. There was a 14.2% drop in the power consumption of 0.1 vol% concentration of pineapple nanolubricants when compared to the various concentrations of the bio-based nanolubricants. From this study, the optimum performance was observed at 0.20 vol% concentration for the orange and pineapple nanolubricants with a relatively less power consumption. R600a refrigerant can completely replace R134a in its use in refrigeration systems and achieve similar pull-down time and coefficient of performance when bio-nanolubricants are utilized in the systems.

Abstract: Cutting down on energy usage while keeping the material removal rate (MRR) as high as possible is widely acknowledged to be one of the most important goals in the machining industry for a considerable amount of time. So that we can create a forecast model for side-milling machining that makes the most efficient use of the feasible amount of power, the response surface method was utilized. After that, this model was used to establish which parameters should be optimized for the machining process. The response surface approach was applied to investigate the effect that several distinct cutting elements, factors like radial slicing depth, feeding rate, and spindle rpm, all examples (RSM), had on the total power needed throughout the cutting process. The data indicate that the variable known as the feeding rate is the most important factor in the amount of energy consumed. Reduced power consumption is an unavoidable natural byproduct of accelerating cycle durations and increasing feed rates. A radial how deep the wound is in 0.3 millimetres, a feed rate of 6,000 millimetres per inch, and a spindle speed of 12,000 revolutions per minute can produce a minimum power usage of 82.38 kilowatts, as the optimization model indicates. Keywords: Material removal rate, Machining, Power consumption

Abstract: In recent years, as global environmental problems have become more serious, the concept of sustainable development, such as the 3Rs, has become increasingly important. Against this backdrop, machinery and equipment are becoming smaller, lighter, and more sophisticated and multifunctional, and highly integrated products increasingly require the machining and assembly of minute mechanical parts. However, the fact that small machine tools generate relatively large amounts of servo standby power during operation calls for proposals for machining methods that reduce power consumption. In this paper, we have developed a novel 5-axes controlled machine tool equipped with an idling-stop function in a feed driving system to reduce the power consumption of machining processes. A problem has been emerged that start-up power increased as the velocity increased. In the present report, we therefore investigate the influence of various programing paths on the power consumption using an idling-stop function when the end milling process is operated in the X-Y plane. As a result, it can be seen that a suitable programing route is occurs for each feed velocity to reduce the power consumption with a developed machine tool.

Abstract: Wire-cut electrical discharge machining (WEDM) has emerged as the most important non-traditional machining technique in the recent years due to its exceptional accuracy and capability to produce net near shape components of electrically conductive materials. Ti-6Al-4V alloy is a hard-to-machine material and popularly used in bio-medical, aerospace, automotive, defence applications etc. due to its distinct merits. In this work, Taguchi optimization technique is applied to obtain optimum cutting conditions for material removal rate (MRR) and power consumption (PC) in WEDM of Ti6Al4V alloy. The result showed 16.38% improvement in MRR and 10.36% reduction in PC at the optimal parameter settings compared to initial cutting conditions. ANOVA result established pulse off time and current as highly significant process parameters affecting MRR (I: 56.58%, T_off: 23.57%) and PC (T_off: 43.26%, I: 31.24%). The response surface variation PC and MRR is studied using 3D plots. Surface morphology of machined component using scanning electron microscope images is also discussed.

Abstract: The aims of this study are to improve thermal characteristics and decrease electrical consumption of air-conditioning as well as, to increase the performance (COP) of cooling cycle. CuO nanoparticles (0.003 mass fraction) have been added to compressor oil of air conditioning (1 ton capacity, split-unit) used Freon gas (R22), and then compared with pure oil compressor of air conditioning under same environmental conditions. The results showed that the increasing of density ratio, COP and viscosity ratio are 3%, 50% and 1.8% respectively while the decreasing of electrical consumption is 51.2%. The experimental data are compared with previous data in the literature to be validated. It can be recommended that the nano-oil is significant utilizing in air conditioner compressors for energy consumption applications.

Abstract: The present work assesses water and power consumption, ethanol production and CO₂ emissions in order to evaluate the technical and economic feasibility of a high-scale sugarcane-based biorefinery and propose a scenario of full carbon and capture system, so the complex could become a sustainable carbon withdrawer from the atmosphere. This work is performed with the aid of professional software for a rigorous mass and energy balances simulation to achieve process data for plant technical and economic analysis. The combustion of sugarcane bagasse is the only source of energy of the plant, which provides steam for the distillery and generates electricity through cogeneration system. The ethanol production from sugars fermentation produces CO₂ which, jointly with the CO₂ from combustion, is released directly into the atmosphere contributing to global warming. Results demonstrate that for processing capacity of 1,000 t/h of sugarcane, the plant emits 0.7 tCO₂ per ton of sugarcane, with net water consumption of 3,600 m³/h as make-up water to replace blowdown and evaporation losses in the cooling tower. The cogeneration system generates 320MW of net power for exportation as electricity. The economic analysis reveals a fixed capital investment of 910MMUSD and a net present value of 378MMUSD considering as revenues the ethanol produced and the electricity from cogeneration at an annual discount rate of 10%.

Abstract: In recent years, the range of sensing technologies has expanded rapidly, whereas sensors present many advantages including flexibility, low cost, easy deployment and so on. Therefore, WSN (Wireless Sensor Network) can play a vital role in the Industry 4.0 framework. This has led to a rapid expansion in smart factories and intelligent manufacturing systems. Integration intelligent network sensors in case of remote maintenance applications that link information technology solutions with condition-based maintenance have not been considered before, for that the proposed application will enable industrial manufacturing to implement condition-based maintenance for the health status of industrial equipment. The paper presents system architecture and hardware organization, explain the choice of sensors devices; as well as the identification of sensor configurations and network topologies; also the choice of the more appropriate platform based on the power consumption in a comparative way using Contiki software.