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Fuel gas operation management practices for reheating furnace in iron and steel industry 钢铁工业加热炉燃气运行管理规范
IF 3.6 3区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2020-06-30 DOI: 10.14743/apem2020.2.357
D. Chen, Y. H. Liu, S. He, S. Xu, F. Dai, B. Lu
How to evaluate the fuel gas operation (FGO) of various working groups (WGs) and working shifts (WSs) in reheating furnace is still ambiguous problem. In this paper, a novelty time-series FGO evaluation model was proposed. The strategy mainly included: Firstly, the fuel gas per ton steel (FGTS) was calculated in certain time interval; Secondly, the FGTS time-series data set was formulated in statistical period; Thirdly, the FGTS time-series data set was divided according to working schedule; Lastly, the FGO evaluation model was established. Case study showed that: i) The fuel gas operation evaluation results of various WGs in different WSs were accorded with normal distribution; ii) For various WGs, A WG performed best, followed by C WG and D WG. The performance of B WG was the worst due to its violent fluctuation of fuel gas operation evaluation results in three WSs; iii) For different WSs, the day WS and swing WS performed well, whereas the performance of night WS was unsatisfactory. Discussion results showed that the improvement of working skills, working responsibility and working passion, which were effective measure to achieve energy saving in terms of operation, should be enhanced through skills training and the reward and punishment system. Generally, this novelty time-series FGO evaluation method could also be applied to other industrial equipment. © 2020 CPE, University of Maribor. All rights reserved.
如何对加热炉各班组和各班次的燃气运行进行评价,仍然是一个模棱两可的问题。本文提出了一种新颖的时间序列FGO评价模型。该策略主要包括:首先,在一定的时间间隔内计算吨钢燃料用气量(FGTS);其次,在统计周期内制定FGTS时间序列数据集;第三,根据工作进度对FGTS时间序列数据集进行划分;最后,建立了FGO评价模型。实例研究表明:1)各WGs在不同WSs内的燃气运行评价结果符合正态分布;(2)各WG中,A WG表现最好,C WG次之,D WG次之。由于燃气运行评价结果波动较大,3个WSs中B WG表现最差;iii)对于不同的WS,日间WS和夜间WS表现良好,夜间WS表现不佳。讨论结果表明,应通过技能培训和奖惩制度加强工作技能、工作责任感和工作热情的提高,这是实现运行节能的有效措施。一般来说,这种新颖的时间序列FGO评价方法也可以应用于其他工业设备。©2020 CPE,马里博尔大学。版权所有。
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引用次数: 4
Improvement of logistics in manufacturing system by the use of simulation modelling: A real industrial case study 利用仿真建模改进制造系统中的物流:一个真实工业案例研究
IF 3.6 3区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.346
M. Straka, S. Khouri, R. Lenort, P. Besta
The current practice and the requirements of industrial enterprises in all industrial areas require a detailed display of manufacturing systems course of events. In this paper, we studied the effects and impacts of computer simulation to improve the actual industrial production. We also verified whether the proposed simulation model and its intervention in the logistics of concrete production in a concrete manufacturing enterprise will correspond to reality. The EXTENDSIM simulation software was used. The simulation results utilization in practice has increased the actual production several times. The simulation results indicated that it is necessary to double the intensity of company supply, i.e. a frequency of entry set to 0.15 days for each timber type. This adjustment increased the performance of unutilized devices and the whole manufacturing system several times, up to 54,475 produced building timber elements, which represents an increase of production by about 199.6 % while maintaining company flexibility. © 2020 CPE, University of Maribor. All rights reserved.
当前的实践和所有工业领域的工业企业的要求都需要详细展示制造系统的事件过程。本文主要研究了计算机仿真对实际工业生产的改善作用和影响。我们还验证了所提出的仿真模型及其对混凝土制造企业混凝土生产物流的干预是否符合实际。采用EXTENDSIM仿真软件。将模拟结果应用于实际生产,使实际产量提高了数倍。模拟结果表明,有必要将公司供应的强度增加一倍,即每种木材的进入频率设置为0.15天。这一调整将未使用设备和整个制造系统的性能提高了几倍,生产了多达54,475个建筑木材元件,在保持公司灵活性的同时,产量增加了约199.6%。©2020 CPE,马里博尔大学。版权所有。
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引用次数: 17
Estimating the position and orientation of a mobile robot using neural network framework based on combined square-root cubature Kalman filter and simultaneous localization and mapping 基于联合平方根立方卡尔曼滤波和同步定位映射的神经网络框架估计移动机器人的位置和姿态
IF 3.6 3区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.347
D. Wang, K. Tan, Y. Dong, G. Yuan, X. Du
The real‐time performance of target tracking, detection, and positioning behaves not well for non‐Gaussian and nonlinear model with circumstance uncertainty. The weak observability of the system under large noise causes the algorithm unstable and slow to converge. A new estimation algorithm combining square‐root cubature Kalman filter (SRCKF) with simultaneous localization and mapping (SLAM) is proposed. By connecting neural network weights, network input, functional types and ideal output network, the algo‐ rithm firstly update iteratively the SRCKF‐SLAM state model and observation model, then conduct the cubature point estimate (weights) neural network framework. Thus, a point set better representing the target state and a more accurate state estimation are achieved, which can improve the filtering accu‐ racy. This paper also estimates robot and characteristic states by filtering in groups. The simulation results showed that the proposed algorithm is feasible and effective. Compared with other filtering algorithms such as SRUKF and SRCDKF, it improves the estimation accuracy. Applying the new algorithm to the position filtering estimation of mobile robot can effectively reduce the positioning error, achieve high‐precision tracking detection, and improve the accuracy of robot target detection. © 2020 CPE, University of Maribor. All rights reserved.
在环境不确定的非高斯和非线性模型下,目标跟踪、检测和定位的实时性不佳。系统在大噪声下的弱观测性导致算法不稳定,收敛速度慢。提出了一种将平方根立方卡尔曼滤波(SRCKF)与同步定位与映射(SLAM)相结合的估计算法。该算法通过连接神经网络权值、网络输入、功能类型和理想输出网络,首先迭代更新SRCKF - SLAM状态模型和观测模型,然后进行培养点估计(权值)神经网络框架。这样可以得到一个更好地表示目标状态的点集和一个更准确的状态估计,从而提高滤波的精度。本文还采用分组滤波的方法对机器人状态和特征状态进行估计。仿真结果表明了该算法的可行性和有效性。与SRUKF、SRCDKF等滤波算法相比,提高了估计精度。将新算法应用于移动机器人的位置滤波估计,可以有效地减小定位误差,实现高精度的跟踪检测,提高机器人目标检测的精度。©2020 CPE,马里博尔大学。版权所有。
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引用次数: 4
A comparison of the tolerance analysis methods in the open-loop assembly 开环装配公差分析方法的比较
IF 3.6 3区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.348
P. Kosec, S. Škec, D. Miler
Dimensional and geometric tolerances affect both the cost and the functionali‐ ty of a given product. Finding the acceptable trade‐off between the two is among the common engineering tasks. Thus, many tolerance analysis meth‐ ods are developed to help engineers and assist in the decision‐making pro‐ cess. In this article, the authors have assessed four tolerance analysis methods by applying them to the open‐loop assembly. The results obtained by the tolerance chart (worst‐case) method, Monte‐Carlo simulation, vector‐loop analysis, and the Unified Jacobian‐torsor model were analysed and compared. Additionally, the overview and application guidelines are included for each of the methods, aiming to help both researchers and practitioners. The results have confirmed that there are significant variations in the outputs across the observed methods, implying the need for informed method selection. © 2020 CPE, University of Maribor. All rights reserved.
尺寸和几何公差影响给定产品的成本和功能。在两者之间找到可接受的折衷是常见的工程任务之一。因此,开发了许多公差分析方法来帮助工程师并协助决策过程。在本文中,作者评估了四种公差分析方法,并将它们应用于开环装配。分析比较了公差图(最坏情况)法、蒙特卡罗模拟、矢量环分析和统一雅可比-托子模型的结果。此外,还包括每种方法的概述和应用指南,旨在帮助研究人员和实践者。结果证实,在观察到的方法中,输出存在显着差异,这意味着需要明智的方法选择。©2020 CPE,马里博尔大学。版权所有。
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引用次数: 10
Neuro-mechanistic model for cutting force prediction in helical end milling of metal materials layered in multiple directions 多方向分层金属材料螺旋立铣削切削力预测的神经机制模型
IF 3.6 3区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.345
U. Župerl, F. Čuš, A. Zawada-Tomkiewicz, K. Stępień
In machining of multi‐layer metal materials used frequently for the manufac‐ ture of transfer sheet‐metal forming tools, the cutting edge is often damaged because of cutting force peaks. Therefore, a neuro‐mechanistic model, pre‐ sented in this paper, has been created for accurate prediction of cutting forces in helical end milling of multidirectional layered materials. The generalized model created takes into account the complex geometry of the helical end milling cutter, the instantaneous chip thickness and the direction of deposit‐ ing of the individual layer of the multidirectional layered material considered in the calculation through predicted specific cutting forces. For the prediction of specific cutting forces for individual layers a neural network is incorpo‐ rated in the model. The comparison with experimental data shows that the model predicts accurately the flow of cutting force in milling of multidirec‐ tional layered metal materials for any combination of cutting parameters, tool engagement angle and directions of depositing three layers of material. The predicted cutting force values agree well with the values obtained, the maxi‐ mum error of predicted cutting forces is 16.1 % for all comparison tests per‐ formed. © 2020 CPE, University of Maribor. All rights reserved.
在多层金属材料的加工中,由于切削力的峰值,切削刃经常被损坏。因此,本文提出了一种神经机制模型,用于准确预测多向层状材料螺旋立铣削时的切削力。建立的广义模型考虑了螺旋立铣刀的复杂几何形状、瞬时切屑厚度以及计算中考虑的多向分层材料各层的沉积方向,通过预测特定的切削力。为了预测个别层的特定切削力,在模型中加入了神经网络。与实验数据的比较表明,该模型能够准确地预测出在切削参数、刀具啮合角和三层材料沉积方向任意组合下多方向层状金属材料铣削过程中的切削力流动。预测的切削力值与实测的切削力值吻合较好,在每个成形的所有对比试验中,预测的切削力最大误差为16.1%。©2020 CPE,马里博尔大学。版权所有。
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引用次数: 8
Awareness and readiness of Industry 4.0: The case of Turkish manufacturing industry 工业4.0的意识和准备:土耳其制造业的案例
IF 3.6 3区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.349
T. Sari, H. K. Gules, B. Yiğitol
The concept Industry 4.0 (I4.0) represents intelligent production processes combining cyber and physical systems through a set of technologies such as internet of things, big data and cloud computing. Transition to Industry 4.0 is expected to cause formidable structural changes, productivity increments and competitiveness in manufacturing industry in all over the world. This study aimed to investigate the general approach to the concept of Industry 4.0 and levels of adoption of the basic Industry 4.0 technologies in manufacturing firms across Turkey. For this purpose, a survey was conducted with 427 firms with various sizes (micro, small, medium and large) operating in six subsectors (automotive; electronic; machinery; chemical; food; and textile) of Turkish manufacturing. The paper examined nine I4.0 technologies: autonomous robots, big data applications, cloud computing, cyber security, simulation approaches, additive manufacturing, system integration, internet of things, and augmented reality. The results revealed that, there is a significant correlation between the degrees of importance and implementation of the basic Industry 4.0 technologies. Moreover, I4.0 implementation degree increases as the firm size increases. The top three industries in Turkish manufacturing that use the most basic Industry 4.0 technologies are automotive industry, electrical and electronics, and machinery, respectively. The analyses are aimed to achieve a better understanding of the concept Industry 4.0 by comparing different groups of manufacturers. © 2020 CPE, University of Maribor. All rights reserved.
工业4.0 (I4.0)的概念是通过物联网、大数据和云计算等一系列技术,将网络和物理系统结合起来的智能生产过程。向工业4.0的过渡预计将在全球范围内引起巨大的结构变化,生产力提高和制造业竞争力。本研究旨在调查工业4.0概念的一般方法以及土耳其制造企业采用基本工业4.0技术的水平。为此目的,对427家不同规模(微型、小型、中型和大型)的公司进行了一项调查,这些公司在六个分部门(汽车;电子;机械设备;化学;食物;和纺织品)的土耳其制造业。该报告研究了9项工业4.0技术:自主机器人、大数据应用、云计算、网络安全、仿真方法、增材制造、系统集成、物联网和增强现实。结果表明,工业4.0基础技术的重要性与实施程度之间存在显著的相关关系。而且,工业4.0的实施程度随着企业规模的增加而增加。土耳其制造业中使用最基本工业4.0技术的前三大行业分别是汽车工业、电气和电子以及机械。这些分析的目的是通过比较不同的制造商群体来更好地理解工业4.0的概念。©2020 CPE,马里博尔大学。版权所有。
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引用次数: 31
Assembly transport optimization for a reconfigurable flow shop based on a discrete event simulation 基于离散事件模拟的可重构流水车间装配运输优化
IF 3.6 3区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.350
S. Yang, Z. G. Xu, G. Z. Li, J. Y. Wang
Reconfigurable Manufacturing Systems (RMSs) are widely used to produce small batches of customized products in the current manufacturing environment. We comprehensively optimized the assembly transport strategy, production process, and production configuration of a reconfigurable flow shop (RFS). Firstly, three assembly transfer strategies, one-to-one, one-to-many, and many-to-many, are proposed for an RFS, given the specific process limitations. In addition, a production simulation model of the RFS is established by the Plant Simulation software to verify and compare those three strategies with realistic production constraints considered. Moreover, the production processes are optimized, and the optimal buffer configuration and vehicle configuration are optimized by the design of experiment (DOE) method. After the optimization processes, the throughput and facility utilization under each strategy increases significantly. Additionally, the optimal buffer size and vehicle quantity under each strategy are determined and compared. The one-to-one strategy can maximize the production output, but it requires the most production resources. In addition, the many-to-many strategy is more efficient than the one-to-many strategy. Our study provides a variety of assembly transport strategies for an RFS and offers an efficient optimization method for production performance and production configuration.
在当前的制造环境中,可重构制造系统(RMSs)被广泛用于生产小批量定制产品。对可重构流程车间(RFS)的装配运输策略、生产流程和生产配置进行了全面优化。首先,针对RFS的特定工艺限制,提出了1对1、一对多和多对多三种装配转移策略。此外,利用Plant simulation软件建立了RFS的生产仿真模型,在考虑实际生产约束的情况下,对三种策略进行了验证和比较。采用实验设计(DOE)方法对生产工艺进行了优化,并优化了最优缓冲配置和车辆配置。经过优化处理后,各策略下的吞吐量和设施利用率均显著提高。确定并比较了各策略下的最优缓冲区大小和车辆数量。一对一策略可以使生产产出最大化,但需要的生产资源最多。此外,多对多策略比一对多策略效率更高。我们的研究为可再生燃料系统提供了多种装配运输策略,并为生产性能和生产配置提供了有效的优化方法。
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引用次数: 10
Integrated management systems based on risk assessment: Methodology development and case studies 基于风险评估的综合管理系统:方法开发和案例研究
IF 3.6 3区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.352
S. Vulanović, M. Delić, Bato Kamberović, I. Beker, B. Lalic
The implementation of management systems in organizations is often based on a “blind” meeting of requirements set by the selected standard, while these requirements are not in direct relation to the risks of the organizations. Therefore, it often happens that the established management system is not operational or is not aligned with the context and real needs of the organization. This paper presents general model for the design of an integrated management system based on risk assessment of organization’s processes. The model was based on the primary hypothesis that a process that has a higher risk should be described in more detail in order to be adequately realized. The presented Model was tested on three diverse companies which had already implemented management systems according to international standards. Comparing the existing with the projected documentation in three companies, it was concluded that the number, scope and structure of documented information were optimized for successful risk management, which lowers the overall costs and enables efficient management of the company. The paper provides scientific approach and methodology for designing the integrated management system in any organization, using existing risks as universal integrating factor. © 2020 CPE, University of Maribor. All rights reserved.
在组织中,管理体系的实施往往是基于对所选标准所设定的要求的“盲目”满足,而这些要求与组织的风险没有直接关系。因此,经常发生的情况是,所建立的管理系统是不可操作的,或者与组织的环境和实际需求不一致。本文提出了基于组织过程风险评价的综合管理体系设计的一般模型。该模型基于一个基本假设,即应该更详细地描述具有较高风险的过程,以便充分实现。该模型在三家已经按照国际标准实施管理体系的不同公司中进行了测试。通过对三家公司现有文件和计划文件的比较,得出结论:文件信息的数量、范围和结构为成功的风险管理进行了优化,从而降低了总体成本,使公司能够有效地管理。本文为任何组织设计集成管理体系提供了科学的方法和方法,将现有风险作为普遍集成因素。©2020 CPE,马里博尔大学。版权所有。
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引用次数: 10
The impact of using different lean manufacturing tools on waste reduction 使用不同的精益生产工具对减少浪费的影响
IF 3.6 3区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.351
I. Leksic, N. Štefanić, I. Veza
Lean and green production was introduced to the western manufacturing industry nearly thirty years ago. The essence of the new business model was to eliminate waste through lean tools according to Taiichi Ohno’s eight cate‐ gories of waste. Many companies became more competitive with waste reduc‐ tion techniques but some of them faced, and still are facing failures. Such failures are closely related with misapplication of lean and green tools, and its sequential order of implementation. In order to define most powerful lean tools for reduction of certain types of waste, a study was made among lean companies. The concept of a study was to define best lean toolbox for reduc‐ tion of each category of waste and to determine right sequential order of lean tools implementation. Stepwise multiple regression model revealed that Total Productive Maintenance, Poka‐Yoke, Kaizen, 5S, Kanban, Six Big Losses, Heijunka, Takt Time, Andon, OEE, SMED, and KPIs are best waste management techniques. Nevertheless, it has been demonstrated that 5S, Kaizen, Kanban, Poka‐Yoke and TPM are highly recommended for start of every lean manufac‐ turing initiative. © 2020 CPE, University of Maribor. All rights reserved.
精益和绿色生产是近三十年前引入西方制造业的。这种新商业模式的本质是根据大野耐一的八种废物分类,通过精益工具来消除浪费。许多公司在减少废物技术方面变得更具竞争力,但其中一些公司面临着失败,而且仍然面临着失败。这些失败与精益和绿色工具的误用及其实施的顺序密切相关。为了定义最强大的精益工具,以减少某些类型的浪费,研究精益公司。研究的概念是定义最佳的精益工具箱,以减少每种浪费,并确定精益工具实施的正确顺序。逐步回归模型显示,全面生产维护、Poka‐Yoke、Kaizen、5S、看板、Six Big Losses、Heijunka、Takt Time、Andon、OEE、SMED和kpi是最佳的废物管理技术。尽管如此,已经证明,5S、改善、看板、Poka - Yoke和TPM是每一个精益生产计划开始时强烈推荐的。©2020 CPE,马里博尔大学。版权所有。
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引用次数: 55
Communication and validation of metrological smart data in IoT-networks 物联网中计量智能数据的通信与验证
IF 3.6 3区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2020-03-31 DOI: 10.14743/apem2020.1.353
B. Ačko, H. Weber, D. Hutzschenreuter, I. Smith
An Internet of Things–network (IoT– network) allows for the communication of data both within the network and to data hubs. However, the usefulness of the data depends on its ability to be interpreted correctly. For metrology data, effective use of the data is only possible if the numerical value, associated unit and uncertainty, expressed in a standard format, are also available. In order to develop, provide and distribute a formal framework for the transmission of metrology data on the basis of the International System of Units, European project EMPIR 17IND02 SmartCom was agreed between the European Com‐ mission and the European Association of National Metrology Institutes (Euramet). The SmartCom project aims to provide the methodological and technical foundation for the unambiguous, universal, safe and uniform com‐ munication of metrological smart data in the IoT and Industry 4.0. The project will increase the industrial capabilities and the provision of regulations for data exchange in the IoT. It will also assist countries within the European Union (EU) and those with an association agreement with the EU in develop‐ ing products that are able to communicate in IoT environments worldwide. In addition to describing the general ideas and aims of the project, this article presents the research results achieved in the first midterm period. © 2020 CPE, University of Maribor. All rights reserved.
物联网网络(IoT - network)允许在网络内和数据中心之间进行数据通信。然而,数据的有用性取决于其被正确解释的能力。对于计量数据,只有在以标准格式表示的数值、相关单位和不确定度也可用的情况下,才能有效地利用数据。为了在国际单位制的基础上开发、提供和分发计量数据传输的正式框架,欧洲委员会和欧洲国家计量研究所协会(Euramet)同意了欧洲项目EMPIR 17IND02 SmartCom。SmartCom项目旨在为物联网和工业4.0中计量智能数据的明确、通用、安全和统一的通信提供方法和技术基础。该项目将提高物联网数据交换的产业能力和规定。它还将协助欧盟(EU)内的国家以及与欧盟有关联协议的国家开发能够在全球物联网环境中进行通信的产品。本文除了描述项目的总体思路和目标外,还介绍了第一个中期的研究成果。©2020 CPE,马里博尔大学。版权所有。
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引用次数: 18
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