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Journal articles on the topic 'Optimization of scrap'

Author: Grafiati

Published: 28 June 2021

Last updated: 29 July 2025

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1

Govindarajalu, V., and V. S. Senthil Kumar. "Web Based Dss for Inventory and Scrap Optimization in a Printing & Packaging Industry." Advanced Materials Research 335-336 (September 2011): 599–605. http://dx.doi.org/10.4028/www.scientific.net/amr.335-336.599.

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This paper proposes a genetic algorithm based optimization of the product and scrap inventory levels in a printing and packaging industry so as to minimize total supply chain cost. The scrap optimization procedures are in the primitive level of implementation in the industries. Determining optimal levels of scrap inventory enables the industries to attack the problem of high scrap and high inventory, thus enables the industries to make quick and sound decisions regarding the production of paper boards in a printing and packaging industry.

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2

Li, Yifeng, Xunpeng Qin, Zhenyuan Zhang, and Huanyu Dong. "A robust identification method for nonferrous metal scraps based on deep learning and superpixel optimization." Waste Management & Research: The Journal for a Sustainable Circular Economy 39, no. 4 (2021): 573–83. http://dx.doi.org/10.1177/0734242x20987884.

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End-of-life vehicles (ELVs) provide a particularly potent source of supply for metals. Hence, the recycling and sorting techniques for ferrous and nonferrous metal scraps from ELVs significantly increase metal resource utilization. However, different kinds of nonferrous metal scraps, such as aluminium (Al) and copper (Cu), are not further automatically classified due to the lack of proper techniques. The purpose of this study is to propose an identification method for different nonferrous metal scraps, facilitate the further separation of nonferrous metal scraps, achieve better management of r

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3

Chen, Xian Xian, and Xin Zhong Lu. "The TSP Method in the Application of the Scraps of Paper Splicing." Applied Mechanics and Materials 513-517 (February 2014): 2668–71. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2668.

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This paper discusses the regular longitudinalcutting torn scraps of paper splicing. The degree of similarity of two scraps is acquired according to their pixel characteristics. Then this splicing problem can be converted into TSP problem and the Optimization Model can be established. After the leftist torn scrap of paper been found, the remaining paper can be attached one by one according to the pixel characteristics. Finally, the best algorithm of single page Stitching recovery is given by this paper.

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Chuchot, Natthawat, and Purit Thanakijkasem. "Production Optimization of Premium Food Can with Distortion Printing under Waving Requirement." Applied Sciences 14, no. 16 (2024): 7399. http://dx.doi.org/10.3390/app14167399.

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This research aims to propose a novel approach for evaluating and minimizing scraps in an industrial production of premium food cans with distortion printing. Beyond conventional formability criteria, a waving requirement is introduced to ensure aesthetic quality of the printed graphics. The research focuses on real production conditions, specifically involving double-cold-reduced (DR) low-carbon steel sheets and chromium-coated tin-free steel with a thickness of 0.16 mm. The sheets are laminated on both sides with a plastic film prior to undergoing distortion printing on the exterior. Subsequ

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Gupta, Madhav. "Sheet Flow Simulation for Sheet Metal Die Optimization Using Simcenter 3D Software." International Journal for Research in Applied Science and Engineering Technology 12, no. 7 (2024): 440–44. http://dx.doi.org/10.22214/ijraset.2024.63597.

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Abstract: This research paper explores the advantages and applications of scrap flow simulation in sheet metal dies manufacturing processes. Scrap flow simulation provides valuable insights into material utilization, die design optimization, and overall efficiency in sheet metal forming operations. The study investigates the impact of scrap flow simulation on reducing waste, improving tool life, and enhancing the quality of sheet metal components, ultimately contributing to the advancement of manufacturing processes.

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Jain, P., P. Fenyes, and R. Richter. "Optimal Blank Nesting Using Simulated Annealing." Journal of Mechanical Design 114, no. 1 (1992): 160–65. http://dx.doi.org/10.1115/1.2916910.

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By reducing scrap, high volume stamped parts can be produced more economically. Scrap rate is heavily influenced by the nesting, or positioning, of the blanks onto the stock. Blank nesting is often done manually, resulting in inefficient nestings with high scrap rates. We have developed an automated nesting system which minimizes the scrap for continuous strip stamping processes. Using an integer grid technique, we compute the overlap between blanks and then apply simulated annealing, a probabilistic global optimization technique, to determine a new nesting with zero overlap and minimal scrap.

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Taszner, Z., Alfred Ender, and Oszkár Grega. "Development of Scrap Evaluation Algorithm to Optimize the Converter Charge Composition." Materials Science Forum 537-538 (February 2007): 701–8. http://dx.doi.org/10.4028/www.scientific.net/msf.537-538.701.

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Analysing the function of steel scrap and understanding its influence on development, are the main problems which interests the steel producers of the world. To create such an essay, the analysis of the actual developments of the quantities, the qualities and compositions of the used scrap types should be continuously monitored in the world’s steel industry. Series of local experiments and evaluating statistics focusing on process optimization by scrap have been done at ThyssenKrupp Steel. This includes the current study based on the records of scrap charges. In the following paper the develop

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8

Miletic, I., R. Garbaty, S. Waterfall, and M. Mathewson. "MODEL-BASED OPTIMIZATION OF SCRAP STEEL PURCHASING." IFAC Proceedings Volumes 40, no. 11 (2007): 263–66. http://dx.doi.org/10.3182/20070821-3-ca-2919.00039.

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9

Bonnin, Marie, Catherine Azzaro-Pantel, Serge Domenech, and Jacques Villeneuve. "Multicriteria optimization of copper scrap management strategy." Resources, Conservation and Recycling 99 (June 2015): 48–62. http://dx.doi.org/10.1016/j.resconrec.2015.03.013.

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10

Voraberger, Bernhard, Gerald Wimmer, Uxia Dieguez Salgado, Erich Wimmer, Krzysztof Pastucha, and Alexander Fleischanderl. "Green LD (BOF) Steelmaking—Reduced CO2 Emissions via Increased Scrap Rate." Metals 12, no. 3 (2022): 466. http://dx.doi.org/10.3390/met12030466.

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The basic oxygen furnace (BOF) is the dominating primary steelmaking process. It is an autothermal process where hot metal and scrap are used as charging materials. The decarbonization and transformation of integrated BOF steelmaking will be the most important challenge in the coming years. Steel scrap is a charge material without new CO2 emissions, whose availability is expected to grow significantly and will play a key role in this decarbonization process. Several solutions have been developed by Primetals Technologies to provide additional energy for processing higher scrap rates in integra

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11

Bode, Christoph, Stefan Goetz, Benjamin Schleich, and Sandro Wartzack. "IMPLEMENTATION AND INTERPRETATION OF A SCRAP AND FAILURE ORIENTED MULTI-OBJECTIVE OPTIMIZATION CONSIDERING OPERATIONAL WEAR." Proceedings of the Design Society 3 (June 19, 2023): 2225–34. http://dx.doi.org/10.1017/pds.2023.223.

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AbstractThe tolerancing of products for manufacturing is usually performed at the end of the design process and the responsibility of the designer. Although components are commonly tolerated to ensure functionality, time-based influences, like wear, that occur during operation, are often neglected. This could result in small amounts of scrap after production, but high quantities of failure during operation. To overcome this issue, this paper presents an approach to perform a multi-objective optimization considering tolerances based on a wear simulation. Thereby, mean shifts serve as optimizati

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12

Sathiyaseelan, G., P. Srinath, C. Bhagyanathan, and J. Gottmyers Melwyn. "Optimization of Dross Formation in Twitch Aluminum Scrap Melting Using Boric Acid Washing: A Taguchi Method Approach." Diffusion Foundations and Materials Applications 38 (March 19, 2025): 15–24. https://doi.org/10.4028/p-zf50sy.

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Dross formation during the melting of twitch aluminium scrap using boric acid washing method, was investigated employing a Taguchi-based approach. The study aimed to analyse the impact of different treatment durations with a 1M concentration of boric acid on dross formation characteristics. Experimental trials involved treating twitch aluminium scrap samples with boric acid solutions for 15 to 60 minutes. Subsequently, dross formation characteristics were analysed using statistical techniques based on Taguchi analysis. Results unveiled significant variations in dross formation among treatment

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Chen, Gaojun, Yudong Li, Enshan Han, et al. "B and N Co-Doped Wood Scrap Charcoal for Decorated Supercapacitor with High Conductivity." Forests 14, no. 5 (2023): 965. http://dx.doi.org/10.3390/f14050965.

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The optimization of supercapacitive properties in carbon materials derived from cheap and sustainable wood scraps exhibits great application potential. Herein, in support of interfacial groups, polyaniline nanospheres were in situ constructed in the internal pore structure of wood scraps; further, the B and N elements were imported by carbonized and hydrothermal methods. The doped B regulated the species of N doping to improve the electrical conductivity of carbonized wood scraps, and it endowed a certain pseudo-capacitance. Coupled with the fine double-layer capacitance from the hierarchical

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14

Huang, Jiu, Chaorong Xu, Zhuangzhuang Zhu, and Longfei Xing. "Visual-Acoustic Sensor-Aided Sorting Efficiency Optimization of Automotive Shredder Polymer Residues Using Circularity Determination." Sensors 19, no. 2 (2019): 284. http://dx.doi.org/10.3390/s19020284.

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To reduce the emissions and weight of vehicles, manufacturers are incorporating polymer materials into vehicles, and this has increased the difficulty in recycling End-of-Life vehicles (ELVs). About 25–30% (mass) of an ELV crushed mixture is the unrecyclable material known as automotive shredder residues (ASRs), and most of the vehicle polymers are concentrated in this fraction. Thus, these vehicle polymers are conventionally disposed of in landfills at a high risk to the environment. The only way to solve this problem is through the development of a novel separation and recycling mechanism fo

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15

Панов, Євген Миколайович, М. Ф. Боженко, С. В. ДАНИЛЕНКО, and В. П. БОЯНІВСЬКИЙ. "OPTIMIZATION OF FURNACES DESIGN FOR MELTING ALUMINIUM SCRAP." Proceedings of the NTUU “Igor Sikorsky KPI”. Series: Chemical engineering, ecology and resource saving, no. 1 (May 13, 2017): 27–35. http://dx.doi.org/10.20535/2306-1626.1.2017.119465.

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16

Задиранов, А. Н., А. В. Мещеряков, М. Ю. Малькова, Т. Н. Нурмагомедов, Т. Г. Грушева, and А. С. Горшков. "HYDROMETALLURGICAL PROCESSING OF LEAD SCRAP AND ITS OPTIMIZATION." Metallurg, no. 5 (October 5, 2023): 108–14. http://dx.doi.org/10.52351/00260827_2023_05_108.

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В работе представлена разработка технологической схемы комплексной переработки жил медного кабеля, имеющих на поверхности контактное покрытие, содержащее свинец. Исследован гидрометаллургический метод удаления (травления) свинца с поверхности медной жилы кабельного лома в растворах, состоящих из смеси уксусной кислоты и перекиси водорода при различных технологических параметрах. Проведена оптимизация регулируемых параметров процесса. Установлено, что наиболее высокие показатели скорости процесса растворения свинца достигаются при соотношении СН3СООН:Н2О2 = 2:1. Предложено уравнение зависимости

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17

Lv, Shengping, Binbin Zheng, Hoyeol Kim, and Qiangsheng Yue. "Data Mining for Material Feeding Optimization of Printed Circuit Board Template Production." Journal of Electrical and Computer Engineering 2018 (2018): 1–17. http://dx.doi.org/10.1155/2018/1852938.

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Improving the accuracy of material feeding for printed circuit board (PCB) template orders can reduce the overall cost for factories. In this paper, a data mining approach based on multivariate boxplot, multiple structural change model (MSCM), neighborhood component feature selection (NCFS), and artificial neural networks (ANN) was developed for the prediction of scrap rate and material feeding optimization. Scrap rate related variables were specified and 30,117 samples of the orders were exported from a PCB template production company. Multivariate boxplot was developed for outlier detection.

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18

Penz, Florian, Johannes Schenk, Rainer Ammer, Gerald Klösch, and Krzysztof Pastucha. "Dissolution of Scrap in Hot Metal under Linz–Donawitz (LD) Steelmaking Conditions." Metals 8, no. 12 (2018): 1078. http://dx.doi.org/10.3390/met8121078.

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One of the main charging materials of the Linz–Donawitz oxygen steelmaking process (LD) is scrap. Scrap acts as a coolant for the exothermic reactions inside the LD vessel and as an iron source in addition to hot metal. The optimization of the LD process is focused, amongst other factors, on thermodynamic and kinetic modelling. The results of simulations have to be validated in close to reality laboratory-scale experiments. A study was made on the dissolution behavior of common steel scrap in carbon-saturated hot metal which is charged into LD converters. In order to examine the effect of seve

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19

Gunawan, Indra, M. Awal Muarif, Muhammad Arif Fadilah, et al. "OPTIMIZATION ROUGHNESS LEVEL OF TURNING FROM ALUMINUM SCRAP SMELTING RESULT USING SAND CASTING METHOD." AUSTENIT 15, no. 2 (2023): 134–38. http://dx.doi.org/10.53893/austenit.v15i2.7590.

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The Production Machinery Workshop at the Sriwijaya State Polytechnic are producing a lot of aluminum scrap left over from turning, where this waste is still thrown away. This will cause pollution to the environment and will be detrimental to the Sriwijaya State Polytechnic workshop. Casting is one way to deal with aluminum scrap, scrap be melted and then reshaped into a practical material that can be reused. The use of sand as a printing medium in recycling scrolls is not recommended because it is less effective and efficient in terms of long-term use. After research has been carried out, the

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20

Li, Ying Dao, Wei Hong Zhong, Hong Wei Guan, and Xiu Shui Ma. "Control and Optimization of Negative Pressure in Scrap Copper Smelting." Applied Mechanics and Materials 103 (September 2011): 399–403. http://dx.doi.org/10.4028/www.scientific.net/amm.103.399.

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Negative pressure is the main control variable in scrap copper smelting process, the control of negative pressure is not only closely related with producing safely, but also produces a direct impact on the quality of the anode plate, it is also a key breakthrough in energy saving. This paper first analyses the characteristics of negative pressure control in scrap copper smelting process, aims to larger overshoot and longer regulation under conventional PID control method, and then utilizes fuzzy control to correct the PID parameters online, to achieve the optimization control of negative press

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21

Nuñez, E., H. Priyadarshi, M. Picco, and A. Vicente. "New methodology for estimating the influence of Cu content of Ferrous Scrap materials in the Total Cost of Operation (TCO) of scrap mix in Electric Arc Furnace steelmaking." IOP Conference Series: Materials Science and Engineering 1309, no. 1 (2024): 012006. http://dx.doi.org/10.1088/1757-899x/1309/1/012006.

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Abstract Scrap is the main raw material of the electric arc furnace (EAF) route of steelmaking and an important one in the primary route. The decarbonisation commitment acquired by the most relevant steelmaking companies, will only increase the amount of scrap used by both routes, making it a critical component to succeed in the worldwide challenge of reducing CO2 emissions. While being a very relevant material, scrap characterisation is complex due to its heterogeneity, but furthermore, its quality is worsening as its demand increases. This includes the sterile content, such as copper. Higher

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22

Machado, Ageu Araujo, João Carlos Zayatz, Marcos Meurer Da Silva, Guilherme Melluzzi Neto, Gislaine Camila Lapasini Leal, and Rafael Henrique Palma Lima. "Aluminum bar cutting optimization for door and window manufacturing." DYNA 87, no. 212 (2020): 155–62. http://dx.doi.org/10.15446/dyna.v87n212.82636.

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This study aims to optimize the one-dimensional cutting process of aluminum bars for the production of aluminum doors. Reducing the use of bars and the amount of material that becomes scrap is a key factor in process efficiency, reducing the need for raw material procurement. The mathematical model used considers the size of the bar, the number and size of cuts, the size of the leftovers that can be used and the size of the leftovers that are considered scrap. Based on real data from a company in the aluminum frame segment, the mathematical model was used to simulate three different scenarios.

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Rahman, M. A., and M. A. Aziz. "Solar pyrolysis of scrap tire: optimization of operating parameters." Journal of Material Cycles and Waste Management 20, no. 2 (2017): 1207–15. http://dx.doi.org/10.1007/s10163-017-0686-1.

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24

Tian, He, Guoqiang Wang, Kangkang Sun, Zeren Chen, Chuliang Yan, and Da Cui. "Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic Algorithm." Shock and Vibration 2021 (December 24, 2021): 1–13. http://dx.doi.org/10.1155/2021/1196299.

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Dynamic unbalance force is an important factor affecting the service life of scrap metal shredders (SMSs) as the product of mass error. Due to the complexity of hammerheads arrangement, it is difficult to take all the parts of the hammerhead into account in the traditional methods. A novel optimization algorithm combining genetic algorithm and simulated annealing algorithm is proposed to improve the dynamic balance of scrap metal shredders. The optimization of hammerheads and fenders on SMS in this paper is considered as a multiple traveling salesman problem (MTSP), which is a kind of NP-hard

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Kim, Myungsuk, Namhun Kwon, Soong Ju Oh, et al. "Electrochemical Process Optimization for Extracting and Recycling the Rare Metals from Waste Scrap Containing Nickel and Chromium." ECS Meeting Abstracts MA2025-01, no. 26 (2025): 1461. https://doi.org/10.1149/ma2025-01261461mtgabs.

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Nickel and chromium are essential materials utilized in various industries, including secondary batteries, stainless steel production, plating, and surface treatments. The increasing demand for high-nickel cathode materials, a crucial component of secondary batteries, has further underscored their significance. However, the supply chain for these metals is experiencing considerable instability due to export restrictions imposed by major resource-rich countries, stringent environmental regulations, and the high costs associated with smelting and processing. As a result, extensive research is be

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26

Huang, Bo, Jianhong Liu, Qian Zhang, Kang Liu, Kun Li, and Xinyu Liao. "Identification and Classification of Aluminum Scrap Grades Based on the Resnet18 Model." Applied Sciences 12, no. 21 (2022): 11133. http://dx.doi.org/10.3390/app122111133.

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In order to reduce the elemental species produced in the recycling and melting of aluminum scrap and to improve the quality of pure aluminum and aluminum alloys, it is necessary to classify the different grades of aluminum scrap before melting. For the problem of classifying different grades of aluminum scrap, most existing studies are conducted using laser-induced breakdown spectroscopy for identification and classification, which requires a clean and flat metal surface and enormous equipment costs. In this study, we propose a new classification and identification method for different grades

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27

Faizin, Muhammad Nur, and Ribangun Bamban Jakaria. "Accu Scrap Raw Material Inventorycontrol Using the Min- Max Method." Procedia of Engineering and Life Science 7 (February 21, 2024): 1–5. http://dx.doi.org/10.21070/pels.v7i0.1590.

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To address stockouts and overstock concerns in Accu scrap processing, this research introduces the application of the Min-Max method to enhance inventory control performance. Implementing this approach on bullion and ingot products resulted in a 33% improvement in inventory management effectiveness. The Min-Max method facilitated the determination of safe stock levels, minimal order quantities, and reorder points, thereby promoting efficient resource allocation and supply chain optimization. Consequently, manufacturers experienced reduced operating expenses while maintaining competitive edge a

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28

Zhang, Shunli, and Eric Forssberg. "Optimization of electrodynamic separation for metals recovery from electronic scrap." Resources, Conservation and Recycling 22, no. 3-4 (1998): 143–62. http://dx.doi.org/10.1016/s0921-3449(98)00004-4.

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29

Ferrás, A. Filipe, Fátima De Almeida, Eliana Costa e Silva, and Aldina Correia. "Sustainable and Optimized Production in an Aluminum Extrusion Process." Sustainability 17, no. 9 (2025): 4179. https://doi.org/10.3390/su17094179.

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In discussions on environmental policies, eco-efficiency is often underlined. Eco-efficiency is defined as delivering products and services with competitive value while simultaneously reducing the ecological impacts and meeting human needs. In highly competitive industrial environments, improvements in production processes are crucial for maintaining a strong differentiated position and competitive ability. Additionally, rationalizing energy consumption and optimizing the use of natural resources are essential for sustainability. This work presents an empirical study of a Portuguese industrial

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30

Liu, Guiqun, Xinyu Fang, Xiaoli Zhang, and Guanglei Lv. "Optimization of Dissolution Parameters for GH4738 Scrap via Response Surface Methodology." Materials 18, no. 4 (2025): 793. https://doi.org/10.3390/ma18040793.

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This study aimed to optimize the electrochemical dissolution process of GH4738 scrap, a Ni-based superalloy, to achieve a high dissolution rate with minimal energy consumption. Using the Plackett–Burman design, we identified four key factors from a pool of eight candidates that significantly influence both the dissolution rate and energy consumption: current density, NiCl2 concentration, electrolysis time, and H2SO4 concentration. The steepest ascent method was then applied to define a region that minimized energy consumption while maximizing the dissolution rate. Response surface methodology

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31

Banožić, Marija, Ines Banjari, Ivana Flanjak, Mate Paštar, Jelena Vladić, and Stela Jokić. "Optimization of MAE for the Separation of Nicotine and Phenolics from Tobacco Waste by Using the Response Surface Methodology Approach." Molecules 26, no. 14 (2021): 4363. http://dx.doi.org/10.3390/molecules26144363.

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This study intends to valorize by-products of the industrial processing of tobacco to obtain nicotine and phenolics as value-added compounds. Three influential parameters of the microwave-assisted extraction-MAE (temperature, treatment time, and solvent/solid ratio) were studied for the optimization of the extraction protocol for tobacco leaves and three types of waste—scrap, dust, and midrib, respectively. Nicotine was the dominant bioactive compound in all extracts, ranging from 1.512 to 5.480% in leaves, 1.886 to 3.709% in scrap, 2.628 to 4.840% dust, and 0.867 to 1.783% in midrib extracts.

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Wang, Wei Lin, and Xian Jie Shi. "Disassembly Sequence Planning Based on Poisoning Ant Colony Algorithm." Key Engineering Materials 572 (September 2013): 340–43. http://dx.doi.org/10.4028/www.scientific.net/kem.572.340.

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Disassembly of scrap product is a necessary procedure of products recycling and reusing, which is an important part of whole life cycle of the products. Scrap product disassembly process planning can reduce the cost of disassembly operation. It can also improve operation efficiency and the enterprise competitiveness. A new improved algorithm is developed based on the basic ant colony algorithm, which is poisoning ant colony algorithm. Poisoning ant colony algorithm is applied to realize the search and optimization for feasible disassembly sequence solution set with disassembly root diagram. Fi

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Sergiy, Zybaylo, Ved Viktor, Okhtina Oxsana, Kiselev Vadym, and Shapovalov Denis. "OPTIMIZATION OF THE PROCESS OF OBTAINING EPOXIDIZED NATURAL RUBBER FOR THE DEVELOPMENT OF NEW COMPOSITE MATERIALS ON ITS BASIS." Technology audit and production reserves 6, no. 3 (50) (2019): 10–13. https://doi.org/10.15587/2312-8372.2019.184364.

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<em>The object of research is the process of epoxidation of natural rubber scrap. Epoxidized natural rubber (ENR) has a wide range of applications, for example, in treadmill coatings, special tires, belt drives, hoses, shoes, adhesives, sealants, floor coverings and other areas where only special synthetic rubbers are used. Natural rubber (NR) is modified by the epoxidation reaction to achieve higher oil resistance, increased adhesion, weather resistance and damping characteristics of materials with its use. Promising is the processing of secondary, non-standard, natural rubber (scrap) as a ra

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34

Machulec, Bolesław, and Andrzej Kuźnik. "The Use of Trapezoidal Fuzzy Numbers in the Model to Optimize the Batch of Electric Arc Furnace." Solid State Phenomena 226 (January 2015): 199–204. http://dx.doi.org/10.4028/www.scientific.net/ssp.226.199.

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The classical models to optimize the batch of electric arc furnace require precise and predetermined numerical values. In order to determine the scrap steel properties (eg. chemical composition), we are not able to define these values precisely and accurately. This situation is due to the heterogeneity and specificity of this material, which is related to its origin and way of obtaining. Therefore the usefulness of classical models to optimize the batch of electric arc furnace is limited. The fuzzy numbers with trapezoidal membership function were applied as a model in order to describe the te

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35

Barbooti, Mahmood M., Thamer J. Mohamed, Alaa A. Hussain, and Falak O. Abas. "Optimization of pyrolysis conditions of scrap tires under inert gas atmosphere." Journal of Analytical and Applied Pyrolysis 72, no. 1 (2004): 165–70. http://dx.doi.org/10.1016/j.jaap.2004.05.001.

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O. Abass, Falak, Mohammed O. Abass, and Raghad O. Abass. "Optimization of Asphalt Mix Improved by the Addition of Scrap Tires." Engineering and Technology Journal 27, no. 12 (2009): 2425–46. http://dx.doi.org/10.30684/etj.27.12.14.

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37

Xin, Tao, Zong Chang Xu, and Yuan Yuan Han. "Study on the Disposal for Retired or Scrap Weaponry and Equipment." Advanced Materials Research 1010-1012 (August 2014): 984–89. http://dx.doi.org/10.4028/www.scientific.net/amr.1010-1012.984.

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The US Army’s disposal situations about the retired or scrap equipment are discussed. Primary methods are as follow, establishing the Defense Reutilization and Marketing Service (DRMS), setting up Aeronautical Maintenance and Recycle Center, founding a “Shadow Fleet” by retired fleet and ships, carrying on equipment remanufacture program, implementing contractor support. And then, the essay analyzes its characteristics such as paying close attention, perfecting mechanism, integrated management, disposing in time, classifying, using modern techniques, civil-military integration, etc. Finally, i

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Mostafavi, Melika, Fereshteh Rashchi, Saman Beikzadeh Noei, and Navid Mostoufi. "Optimization of Ni, Cu and Zn Recovery in Bioleaching of Electronic Scrap." Solid State Phenomena 262 (August 2017): 692–95. http://dx.doi.org/10.4028/www.scientific.net/ssp.262.692.

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Bioleaching was applied to mobilize metals from printed wire boards (PWBs). PWBs have a rich metal content and are produced in high volume. Operating conditions of bioleaching of PWBs using an adapted mixed culture of Acidithiobacillus ferrooxidans (A. ferrooxidans) and A. thiooxidans to recover Cu, Zn and Ni were optimized in this study. The adaptation phase began at 1 g/L PWBs powder with 10% inoculation and the final pulp density was 20 g/L after about 40 days. Optimization was performed using central composite design method to optimize four effective factors, including initial pH (1.5 to 2

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Lao, Weng Chon, Renata Alves de Toledo, and Hojae Shim. "Optimization of major environmental parameters to degrade scrap tyres by Bacillus sp." Energy Procedia 153 (October 2018): 226–30. http://dx.doi.org/10.1016/j.egypro.2018.10.005.

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Taszner, Z., O. Grega, and A. Ender. "Optimization of scrap charge in terms of impurity requirements of produced steel." Revue de Métallurgie 105, no. 11 (2008): 551–55. http://dx.doi.org/10.1051/metal:2008071.

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Valuev, N. P., O. V. Lysova, and N. V. Nikonenkov. "Optimization of a system for the radiation monitoring of incoming scrap metal." Metallurgist 55, no. 5-6 (2011): 328–34. http://dx.doi.org/10.1007/s11015-011-9431-5.

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Van Ende, Marie-Aline, In-Ho Jung, Yong-Hwan Kim, and Taek-Soo Kim. "Thermodynamic optimization of the Dy–Nd–Fe–B system and application in the recovery and recycling of rare earth metals from NdFeB magnet." Green Chemistry 17, no. 4 (2015): 2246–62. http://dx.doi.org/10.1039/c4gc02232g.

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The developed thermodynamic database for the Dy–Nd–Fe–B–Mg system enables the calculation of complex phase diagrams for the selective recovery of Nd and Dy from NdFeB magnet scrap using the liquid metal extraction process.

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Xianzhou, Hou, Xiao Manhua, Ye Weiwen, Jia Hongliang, and Li Guoqiang. "Research on Precision Control and Optimization of Automatic Feeding Device of Stamping Die." Journal of Engineering System 2, no. 2 (2024): 52–57. http://dx.doi.org/10.62517/jes.202402209.

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This paper discusses the precision control and optimization method of automatic feeding device of stamping die. By analyzing the accuracy of the existing feeding device, the main influencing factors are identified. To solve these problems, a comprehensive scheme of structural design optimization, control system improvement and precision test method optimization is proposed. The specific research contents include the improvement of the mechanical structure of the feeding device, the application of advanced algorithms in the control system, and the improvement of precision testing equipment and

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Kassahun, Estifanos, Solomon Tibebu, Yobsen Tadesse, and Nigist Awish. "Synthesis Optimization of Activated Carbon Driven from Scrap Tire for Adsorbent Yield and Methylene Blue Removal under Response Surface Methodology." Advances in Materials Science and Engineering 2022 (August 22, 2022): 1–13. http://dx.doi.org/10.1155/2022/2325213.

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This study aimed to investigate the synthesis optimization of activated carbon-driven scrap tires for adsorbent yield and methylene blue removal under response surface methodology. The scrap tire sample was activated by KOH using ethanol as a solvent. The optimized activated carbon was characterized using proximate analysis, scanning electron microscope (SEM), X-ray diffraction (XRD), and Brunauer Emmett Teller (BET) method. The activated carbon was demineralized using 5 M NaOH + 98% H2SO4 (1 : 1) as a solvent to enhance the surface area. Langmuir, Freundlich, Temkin, and Dubinin-Radushkevich

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Penz, Schenk, Ammer, Klösch, Pastucha, and Reischl. "Diffusive steel scrap melting in carbon-saturated hot metal—phenomenological investigation at the solid–liquid interface." Materials 12, no. 8 (2019): 1358. http://dx.doi.org/10.3390/ma12081358.

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The oxygen steelmaking process in a Linz-Donawitz (LD) converter is responsible for more than 70% of annual crude steel production. Optimization of the process control and numerical simulation of the LD converter are some of the current challenges in ferrous metallurgical research. Because of the process conditions and oxidation of impurities of the hot metal, a lot of chemical heat is generated. Therefore, steel scrap is charged as a coolant with the economical side aspect of its recycling. One of the more complex aspects is, among others, the dissolution and melting behaviour of the scrap in

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Utama, Dana Marsetiya, and Artha Bripka Putri. "The production-inventory model with imperfect, rework, and scrap items under stochastic demand." International Journal of Advances in Applied Sciences 13, no. 4 (2024): 896. http://dx.doi.org/10.11591/ijaas.v13.i4.pp896-906.

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Inventory is crucial in maintaining a smooth production process and meeting consumer demand for manufacturing companies. This research focuses on production problems involving defects, rework, and scrap items in stochastic demand. This research aims to develop a production-availability model by minimizing the expectation of total cost (ETC). The model includes four main decision variables, namely production quantity (Q), safety factor (k), production rate (P), and rework rate (P1). This research uses the Aquila optimizer algorithm to optimize the objective function. It compares with the heuris

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Dana, Marsetiya Utama, and Bripka Putri Artha. "The production-inventory model with imperfect, rework, and scrap items under stochastic demand." International Journal of Advances in Applied Sciences (IJAAS) 13, no. 4 (2024): 896–906. https://doi.org/10.11591/ijaas.v13.i4.pp896-906.

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Inventory is crucial in maintaining a smooth production process and meeting consumer demand for manufacturing companies. This research focuses on production problems involving defects, rework, and scrap items in stochastic demand. This research aims to develop a production-availability model by minimizing the expectation of total cost (ETC). The model includes four main decision variables, namely production quantity (Q), safety factor (k), production rate (P), and rework rate (P1). This research uses the Aquila optimizer algorithm to optimize the objective function. It compares with the heuris

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KACSÓ, Alex-Barna. "Optimization and Design of a Manufacturing Line for Automotive Products." Acta Marisiensis. Seria Technologica 21, no. 2 (2024): 26–30. https://doi.org/10.62838/amset-2024-0014.

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This paper presents the results of the design and optimization of a manufacturing line for automotive products. The study focuses on optimizing a station to ensure that a shutdown of one manufacturing line does not affect other lines. The optimization process utilized KUKA robots for parts handling and implemented a rack-type station where automotive parts can be placed or picked up by two robots simultaneously. The station was designed to use modular design elements. The rack station is equipped with NOK define before abbreviate part identification sensors, resulting in a significant increase

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Ferreira Neto, Waldomiro Alves, Cristiano Alexandre Virgínio Cavalcante, and Phuc Do. "Deep reinforcement learning for maintenance optimization of a scrap-based steel production line." Reliability Engineering & System Safety 249 (September 2024): 110199. http://dx.doi.org/10.1016/j.ress.2024.110199.

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Muhammad, Riaz, Yousaf Ali, Younes Messaddeq, et al. "Conditions Optimization and Physiochemical Analysis of Oil Obtained by Catalytic Pyrolysis of Scrap Tube Rubber Using MgO as Catalyst." Catalysts 11, no. 3 (2021): 357. http://dx.doi.org/10.3390/catal11030357.

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Motor vehicles scrap tires and tube rubbers generate a large amount of waste with different characteristics and compositions, contaminating the environment when not properly disposed. Waste inner tube rubber (isobutylene isoprene) representing a threat to the environment can be used as valuable source of energy. Waste inner tube rubber was pyrolyzed thermally under atmospheric pressure both with and without catalyst. Parameters of temperature, time, and catalyst weight were optimized for catalytic and thermal pyrolysis of isobutylene-isoprene rubber into liquid fuel, using MgO as catalyst. It

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