bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of a Can Size Problem Using Real Encoded Chromosome in Genetic Algorithm
Authors: Ashraf M , Gola A , AlArjani A , Hasan F 
Published: July 2022

AbstractOne of the major drawback of Genetic Algorithm (GA) based solutions to many optimization problems is the difficulty to obtain convergence to an optimal solution. One of the possible reason for not obtaining good convergence is due to the improper encoding of chromosomes. Many techniques were proposed in some previous researches for improving the convergence of GA based solutions. However, no consideration regarding the role of chromosome encoding in achieving convergence and optimality both has been discussed in the past. In the present work, a can volume optimization problem is solved with the help of two types of chromosome encoding techniques that are proposed and evaluated in GA environment. First, based on single random gene selection and second based on mean value of genes of the encoded chromosome. A numerical example with an objective function and constraints has been solved and the results for each of the scheme is being discussed.
A Model for the Intelligent Supervision of Production for Industry 4.0
Authors: Klos S , Patalas-Maliszewska J , Tront D 
Published: July 2022

Abstract
Nowadays, the automation of production processes requires qualified engineering staff; unfortunately, such personnel are in very short supply in all EU countries. This article proposes a concept for a model for the intelligent supervision of production for Industry 4.0., the implementation of which will allow the demand for highly skilled engineering staff to be reduced within a company. An analysis of the literature, dedicated to manufacturing enterprises, regarding the intelligent supervision of production systems, is carried out in the article. It follows, therefore, that the Industry 4.0 concept assumes that mechanisms will be implemented, in production resources, in order to enable preventive measures to be taken, vis-à-vis breakdowns, failures and disruptions to the operation of devices. The need to develop a model for the intelligent supervision of production systems, in the face of challenges within the concept of Industry 4.0, is proposed. This model includes the following elements: (1) a configurator allowing devices to be selected for measuring production parameters, (2) a database for registering production system parameters, (3) Convolutional Neural Networks (CNN), as the prediction algorithm and (4) a knowledge-based structure, including operating procedures and good practices for preventing emergency situations, threats and excessive energy consumption in production systems. The usefulness of this model for predictive maintenance, safety and energy efficiency, vis-à-vis the use of production resources, as well as in support of middle management for decisions taken by employees, is described.
The use of random forests to support the decision-making process for sustainable manufacturing
Authors: Antosz K , Kozłowski E , Sęp J , Żabiński T 
Published: July 2022

Abstract
Today’s companies need to change the way they produce and consume goods to meet sustainability requirements. These companies are striving to increase production efficiency, while reducing the use of raw materials, reducing costs and reducing their impact on the environment. Intelligent decision support systems are an inseparable element supporting such action. The presented work the use the data mining method (random forests) to identify the parameters affecting the condition of the cutting blade is presented. The developed model was evaluated using indicators to assess the quality of classifications. The obtained results confirm the high quality of the predictive model. The proposed model can be used to support the decision-making process in determining the life of a cutting tool. This will reduce the consumption of raw materials and production waste, and thus reduce the company’s environmental impact, which is consistent with the assumptions of sustainable production.
Digital Twin-driven approach towards manufacturing processes support
Authors: Helman Joanna 
Published: July 2022

Abstract
Modern systems supporting production processes are undergoing significant changes, which involve challenges related to the digitization of processes. Decision making is becoming more and more dependent on the analysis of various types of data and information from the production process. The 4th Industrial Revolution forces the transition towards new technologies, innovation and digital models also in manufacturing operations. One of the phenomena of Industry 4.0 is Digital Twin, whereby it is possible to analyze and simulate real-time different production variants from the real environment without directly interfering with the actual production process. Thanks to the use of Digital Twin, it is possible to optimize manufacturing procedures, detect physical problems faster and make a decision about a process change with smaller risks to achieve a new higher level of productivity. This paper will introduce the theoretical aspects connected with Digital Twin-driven approach in smart manufacturing and will emphasize its potential towards the application of new-generation information technologies in industry and manufacturing. The systematic literature research will be focused on the analysis of different application areas of Digital Twin in the modern industry. This paper will specify and highlight how manufacturing processes can benefit from the use of the Digital Twin concept.
Digital system for sound sources location problem in multidimensional space using machine learning methods
Authors: Walczyński Maciej , Ruszkowski Piotr , Bozejko Wojciech 
Published: July 2022

Abstract
The issues presented in this work relate to the possibility of detecting the location of the sound source and its effectiveness in production conditions using recordings made with artificial head and processed with using an artificial neural networks. The use of an artificial head and artificial neural networks was motivated by an attempt to map human perception using available computer technology. The work attempts to map the features used for location human sources of sound through digital signal processing and machine learning. Artificial neural networks are commonly used, among others, in image recognition, where, using a camera or camera, the algorithm classifies objects in the image. Machine learning algorithms in addition allow for the implementation of self-learning speech or text recognition models. As part of the work, it was decided to localize the sound for a collection of fifteen different items sources relative to the head. To avoid duplicating similar measurements, the sound source was to the left of the artificial head. For signal processing and programming language was used to prepare the artificial neural network model Python with the Numpy numerical library, a library designed for signal processing Scipy, TensorFlow and Keras.
Application of Scheduling Systems in Smart Manufacturing
Authors: Olender-Skóra M , Gonet A 
Published: July 2022

Abstract
At the present time, where products are more and more often made for a specific customer, the production of such products requires more and more decisions to be made in the shortest possible time. This causes that solutions and methods are sought to support production planning and scheduling in such a dynamic environment of various variables. The problem concerns both the decision support system and the relevant data sets, on the basis of which schedules are generated. The article presents an algorithm related with generating schedules in the production planning system, as well as an application for supporting the process of decision making the purpose of which is choosing the best schedule from the set of available solutions. This is very important from the point of view of “product customization” and intelligent manufacturing.
Dispersion analysis of hydrogen released from a fuel cell electric vehicles with ventilations
Authors: Li Yuejuan , Hou Xulei , Qi Wei , Hong Zehui , Wang Cheng , zhang Bo , Wang Qiubo , Zhang Xiaolu 
Published: July 2022

Abstract
Hydrogen is one of most attractive clean energy and has been broadly used as fuel for vehicles. However, the accidental leakage of the hydrogen may cause fire and casualties. So, it is extremely important to have a good knowledge of the leaking hydrogen dispersion. This study focuses on the effect of vent amount, location and wind pattern on the distribution of leaked hydrogen using CFD models. The dispersion of high-pressure hydrogen horizontally released from a hydrogen fuel cell transit bus in an enclosure with multiple vents is simulated using CFD models. The results figure out an improvement in ventilation with two vents or forced wind imposed at the vents and the results also illustrate keeping distance between two vents makes the improvement much apparently. The hydrogen mass fraction at monitors closed to the vents that is imposed with the wind keeps low level. As a result, all these kinds of positions are not suggested to be the locations for installing the sensors.
Removal Mechanism of Abrasive Jet Polishing with a Novel Nozzle
Authors: Yuan Qiaoling , Chen Xun , Wen Donghui 
Published: July 2022

Abstract
In view of the high-precision and low-damage requirements for surface polishing of hard and brittle components, an abrasive jet polishing process using a novel nozzle with specifically designed shroud was proposed. The removal mechanism of abrasive jet polishing was investigated by simulating the jet flow in the interaction area of the nozzle shroud and workpiece. The simulation results indicate that the velocity of the abrasive jet increases greatly by the shroud and the direction of the jet is aligned almost parallel to the workpiece surface. With such a design, the normal force of the abrasive jet is minimized to reduce the impact damage of the workpiece surface. Further, the stabilized abrasive jet insures a smooth machining. The machining experiments were performed on the quartz glass component, a typical hard and brittle material. The results of the shrouded abrasive jet polishing experiments show that the material removal mainly relied on the shearing and scratching of the workpiece surface rather than the mechanical shock impacts, which is consistent with the simulation findings.
Application of a Digital Twin for Manufacturing Process Simulation
Authors: Olender-Skóra M , Banaś W 
Published: July 2022

Abstract
Due to the growing market demand and increasing customization of products, the enterprises have to increasingly adapt to the prevailing market conditions. However this adaption should be conducted with the lowest production costs and the best possible utilization of resources. One of the ideas, to obtain that, may be an attempt to implement the so called digitization and a digital twin for the enterprise. The article presents the possibilities of enterprise digitization and problems that the enterprises have to deal with, in order to better organize and plan the production process in the modern, dynamically changing environment.
Influence of guide rail error on machining accuracy and compensation method
Authors: Xi J P , Zhang C , Zhang L B 
Published: July 2022

Abstract
This paper introduces the guide rail error and analyses the influence of the guide rail error on the machine tool. Several common measuring and error compensation methods are introduced. To reduce the error of machine tool guide, researchers need to have a full understanding of it, and then take appropriate measures to reduce this error, so as to achieve the purpose of improving the machining accuracy. In this paper, through theoretical analysis, the variation trend of guide rail contour error is obtained, which is verified by laser interferometer, and the appropriate position is selected for error compensation. After the test verification, the test proves that the compensation method can effectively compensate the model rail error.
Study on the Motion Characteristics of Abrasive Media in Vibratory Finishing
Authors: Liu Wenwu , Wang Shuwen , Jiang Qifeng , Morgan Michael , Liu Xiaoxiao 
Published: July 2022

Abstract
In order to investigate the motion characteristics of the abrasive media in the vibratory finishing, the RecurDyn and EDEM coupled simulation method is employed. The simulation results show that the trajectories of the abrasive media are annular spiral motions in general, including a circular motion about the central axis of the vibratory finishing machine and an elliptical motion around the center of the media flow. The reliability of the RecurDyn-EDEM coupled simulation for the vibratory surface finishing process is validated by X-ray real-time detection, which has significance in better understanding of the motion characteristics of abrasive media and the optimal design of the vibratory surface finishing processes.
Analysis for the Process Planning of the Body Side Welding in Delmia
Authors: Dai Huaichu , Lv Gang , Huang Wenjin , Qin Qiang 
Published: July 2022

Abstract
Welding, as an important process for body-in-white (BIW), it should be taken into consideration in the automobile industry where the spot welding is often used. In order to validate the welding process of the whole welding line, the simulation process for the body side which is an important part of the BIW is discussed in the software Delmia according to the layout in AutoCAD which has been designed before. And then the establishment of model, the welding process and the specific working procedures are considered and discussed in the design stage to guarantee that the simulation process in Delmia can be carried on to validate whether the designed process can meet the working requirements. Additionally, the welding operation by multi-robots in a work station is analysed to verify that the number of robots and their positions are acceptable and they can reach working positions. Finally, the planning of the cycle time is obtained and then we can conclude that the designed welding process is feasible to guide the work in site.
Microstructural Design of the Cast Iron via Laser Hardening with Defocused Beam of the Continuous Wave CO2 Laser
Authors: Ahuir-Torres J.I. , Sharp M. , Bakradze N. , Batako A.D.L 
Published: July 2022

Abstract
The cast iron is widely used in mechanical parts due to its good properties, as damping, good fluidity, resistance to deformation, excellent machinability and low cost. However, the number of its applications are reduced because its low corrosion, wear and friction resistance. The microstructure of the metallic materials has high influence on these properties. Laser hardening can improve these properties via designing of the microstructure. The evaluation of the laser parameter influence on the microstructural features is vital for a correct design of the microstructure and therefore, good improvement of the metallic material properties. Although the various laser parameter influence has been analysed on sundry papers, the influence of the distance from focal point and scan speed in the laser hardening microstructures has been rarely evaluated in the literature. Thus, the influence of this parameter on the microstructures generated through laser hardening is the subject matter of this work. The experiments were carried out with continuous wave carbon dioxide laser on samples of ground cast iron. The atmosphere was air flow at 0.7MPa, the laser operated at 100W and the scan rates were 1mm/s and 5mm/s. The distances to focal point of the laser beams ranged from 0.0mm to 5.6mm. The microstructures of the samples were revealed via nital and evaluated with optical microscopy. This work shown that the microstructure of gray iron cast can be designed by mean of laser hardening. In addition, laser hardened zones had various microstructures (e.g. austenitic, martensitic, pearlite and dendritic). The type of the microstructures in laser treated zones was determined by distance from focal point and scan speed. Moreover, the width and the depth of the laser hardened zones were generally enlarged with the increasing of the distance from focal point. Furthermore, the laser irradiation at slow rates, i.e. 1mm/s, produced laser hardened zones larger than laser scan at 5mm/s. In future works, the hardness, wear and friction resistance of the laser hardened samples will be evaluated because the literature review indicates that austenitic and martensitic microstructures show high values of these properties.
Numerical simulations of Quasi-Static Fracture Behaviour of AISI 316 for Nuclear Transport packages
Authors: Angel Olivia , Rothwell Glynn , English Russell 
Published: July 2022

Abstract
Nuclear transport packages must pass stringent post-design safety tests before they can be licensed for use. Impact and thermal tests are designed to replicate the worst case conditions in the event of an accident, and often result in the failure of some materials. The outer construction of nuclear transport packages relies on AISI 316. Finite element (FE) models help demonstrate part of the testing required for the performance of nuclear transport packages. FE codes accurately predict the elastic-plastic response of materials up to the ultimate tensile strength. In this study, preliminary work of a series of 12 specimens are designed for numerical simulations using the FE code ABAQUS on AISI 316. The evolution of stress triaxiality during multiaxial loading conditions such as tensile, compressive, pure shear and combined loading conditions is used to further understand ductile fracture.
Dynamic simulation models as digital twins of logistics systems driven by data from multiple sources
Authors: Krenczyk D 
Published: July 2022

Abstract
In recent years, the development of manufacturing companies in the most dynamic industries, such as automotive, has been conditioned by the use of modern technologies, but also management concepts focused on quality and continuous improvement of processes and services. There was also a rapid increase in the level of production automation with a simultaneously growing level of flexibility in manufacturing systems, forced by the need to adapt the product to the customer’s needs (mass customization). These factors influenced the formation of a new concept for the development of industrial systems, referred to as Industry 4.0. It refers to production based on cyber-physical systems, integrating manufacturing, logistics, and distribution. One of the main components of an intelligent factory, based on cyber-physical systems, is the virtual equivalent of a real system in the form of the digital twin. Based on the feedback from the real system, a digital simulation supported by analytical software on the information platform is created. Dynamic simulation models should automatically adapt to changes in physical objects of the analysed system. Therefore, models of real objects reflecting their current state and logic of behaviour are required. The methods of automatic or semi-automatic generation of simulation models are the answer to these problems. They are based on approaches using data and information obtained from ERP/MES/CAD systems. In this paper, the proposed schemes for data exchange in the process of creation and simulation models and mapping of the dynamics of the actual system are shown.
Recycling-oriented analysis of domestic vacuum cleaner
Authors: Diakun J , Dostatni E , Rojek I , Rybacki P 
Published: July 2022

Abstract
A study of recyclability of a selected product, based on analyses conducted using an original application for the assessment of recyclability of products. The term ‘recycling’ has been defined and the role of recyclability in the process of eco-design specified. Some general recycling-oriented assessment methods have been discussed. The method used in the study, based on a recycling-oriented product model (RmW) and an agent-based system, has been described. The analysis has been applied to a domestic vacuum cleaner, considering the specificity of the industry. A model of the vacuum cleaner has been created in a 3D CAD system and extended with recyclability parameters to support a comprehensive assessment for easiness of dismantling and reusability of materials. Results of the calculations performed by the system have been analysed in order to characterize recycling properties of the cleaner.
A nanoparticle formation model considering layered motion based on an electrical explosion experiment with Al wires
Authors: ZHANG 张 Jiangbo 江波） , GAO 高 Hongxu 红旭 , XIAO 肖 Fei 飞） , LIU 刘 Wei 威 , LIANG 梁 Taixin 泰鑫 , MA 马 Zhongliang 中亮 
Published: July 2022

Abstract
To study the evolution of nanoparticles during Al wire electrical explosion, a nanoparticle formation model that considered layered motion was developed, and an experimental system was set up to carry out electrical explosion experiments using 0.1 mm and 0.2 mm Al wires. The characteristic parameters and evolution process during the formation of nanoparticles were calculated and analyzed. The results show that the maximum velocities of the innermost and outermost layers are about 1200 m·s−1 and 1600 m·s−1, and the velocity of the middle layer is about 1400 m·s−1, respectively. Most of the nanoparticles are formed in the temperature range of 2600 K‒2500 K. The characteristic temperature for the formation of Al nanoparticles is ∼2520 K, which is also the characteristic temperature of other parameters. The size distribution range of the formed nanoparticles is 18 to 110 nm, and most of them are around 22 nm. The variation of saturated vapor pressure determines the temperature distribution range of particle nucleation. There is a minimum critical diameter of particles (∼25 nm); particles smaller than the critical diameter can grow into larger particles during surface growth. Particle motion has an effect on the surface growth and aggregation process of particles, and also on the distribution area of larger-diameter particles. The simulation results are in good agreement with the experiments. We provide a method to estimate the size and distribution of nanoparticles, which is of great significance to understand the formation process of particles during the evolution of wire electrical explosion.