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Implementation of Six Sigma methodologies to gain a competitive advantage: A Case Study approach 实施六西格玛方法以获得竞争优势:案例研究方法
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9735103
L. Gaikwad, U. Bhushi, S. N. Teli
In the present scenario of the quickly varying financial conditions such as global competitiveness, declining net revenue, demand for first-class variety product from customer end and decreased lead–time, etc. had a major impact on manufacturing industries. Six Sigma is a well-known business strategy for continuous improvement that focuses on enhancing products, processes, and outcomes by minimizing variation in processes and avoiding product deficiencies. Six Sigma DMADV (Define-Measure-Analyze-Design-Verify) methodologies is an influential approach to designing products, processes, and services to fulfill the requirements and potential of the customer while reducing the cost of quality. DMADV uses influential and constructive statistical tools to forecast and enhance quality before prototypes are built.This paper presents the case study approach to implement a Six Sigma DMADV methodology in an auto part manufacturing company to reduce the weight of Variable Transmission Unit (VTU) Housing for H1 transmission and hydraulic common oil vehicle Models to gain a competitive benefit.
在全球竞争力、净收入下降、客户端对一流品种产品的需求以及交货时间缩短等快速变化的财务状况的当前情况下,对制造业产生了重大影响。六西格玛是一种众所周知的持续改进的商业策略,它通过最小化过程中的变化和避免产品缺陷来增强产品、过程和结果。六西格玛DMADV(定义-测量-分析-设计-验证)方法是设计产品、过程和服务的一种有影响力的方法,以满足客户的需求和潜力,同时降低质量成本。DMADV使用有影响力和建设性的统计工具来预测和提高原型构建之前的质量。本文介绍了在一家汽车零部件制造公司实施六西格玛DMADV方法的案例研究方法,以减轻H1变速箱和液压通用油车型的可变传动单元(VTU)壳体的重量,以获得竞争优势。
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引用次数: 1
People Counting and Temperature Recording Using Low-Cost AI MATLAB Solution 基于低成本人工智能MATLAB的人口计数和温度记录解决方案
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9734797
Asad Hindash, K. Alshehhi, AfrahA Altamimi, Hana Alshehhi, Maryam Mohammed, Shouq Alshemeili, Younis H. Karim Aljewari
The adverse impact of coronavirus (COVID-19) has taken a toll on many aspects of our lives. Precautionary safety measures were established to contain and reduce the widespread of the virus. However, in most cases, the global pandemic countermeasures imposed restrictions on physical access to financial, health, educational, shopping, factories, public transportation, and office buildings. In addition, the process of facilitating access based on customary identity verification and temperature collection can be high risk and time-consuming, especially if performed in a close encounter. Today, many surveillance and security companies can provide a practical solution, though with a high cost. The merit of this practice is to utilize Artificial Intelligence to provide 1) remote image recognition accurately with face masks, 2) temperature recording and 3) low-cost solutions altogether. This study is developed in response to a Request for a Proposal by the UAE Ministry of Energy and Infrastructure. The study is directly related to developing low-cost system for people counting and temperature recordings using enhanced Viola-Jones algorithm with cascade objects for detection and tracking. Rudimentary analysis indicates 95% effectiveness of system, with more than 70% cost reduction, and opportunity for global implementation to ensure smoother transitions to new normal.
冠状病毒(COVID-19)的不利影响已经对我们生活的许多方面造成了损害。制定了预防安全措施,以遏制和减少病毒的传播。然而,在大多数情况下,全球大流行对策对金融、卫生、教育、购物、工厂、公共交通和办公楼的实际出入施加了限制。此外,基于常规身份验证和温度收集的便利访问过程可能是高风险和耗时的,特别是在近距离接触时。如今,许多监控和安全公司可以提供实用的解决方案,尽管成本很高。这种做法的优点是利用人工智能提供1)远程图像识别准确的口罩,2)温度记录和3)低成本的解决方案。本研究是应阿联酋能源和基础设施部的提案请求而开发的。这项研究与开发低成本的人口计数和温度记录系统直接相关,该系统使用增强的Viola-Jones算法和级联对象进行检测和跟踪。初步分析表明,该系统的有效性为95%,成本降低了70%以上,并有机会在全球范围内实施,以确保平稳过渡到新常态。
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引用次数: 0
Numerical assessment of interlaminar stresses in tapered composite laminates : A comparative analysis with FEM and VAM 锥形复合材料层间应力的数值计算:有限元与VAM的对比分析
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9734914
S. S. Babu, A. Mourad, Saeed Al-Nuaimi
Laminated composites with internal ply drop-off regions at specific locations, popularly known as tapered composite structures have found wide applicability, owing mainly to its weight savings and customizable mechanical properties. A detailed analysis is therefore vital to predict the mechanical response of these tapered laminates with plies terminating at specific locations. In the initial part of the study, a three-dimensional (3D) model of a flexbleam structure, which is a typical structural application of tapered composites is condensed to a two-dimensional (2D) model on certain assumptions. It is a symmetric ply-configuration structure exposed to a tensile load and analysis is carried out on a commercial finite element method (FEM) package, ANSYS 16.2. The study of induced interlaminar stress responses can aid in determining the factors influencing the strength and endurance of the laminate structure thereby, guide in the design of the ideal layout to maximize performance across various conditions and prevent delamination. The conventional 3D/2D analysis require high investment in terms of computational effort and time. Therefore, a mathematical asymptotic method, Variational Asymptotic Method (VAM) is introduced in second phase of this study in order to analyze the problem. It mainly involves decomposition of the 3D problem into a one-dimensional (1D) one, owing to the point that the thickness of rotating beams such as propellor, rotors, etc. is comparatively lower than the other two dimensions. The application of beam theory involves the introduction of variables depending only on beam axis co-ordinates. Unlike classical approaches, this is especially useful to capture non-linearities such as extension-twist coupling (trapeze effect). warping, etc. which may be dominating in thin-walled beam section found in rotor blades and turbomachinery. For this purpose, geometrically exact intrinsic beam theory derived using variational principle is adopted for the analysis. The solution obtained contains asymptotically exact static displacement and rotation variations of the structure for arbitrary loading and stacking sequence. Out of plane stresses (interlaminar) are recovered from global 3D equilibrium equations which can be further used for delamination studies.
在特定位置具有内部厚度下降区域的层压复合材料,通常被称为锥形复合材料结构,由于其减轻重量和可定制的机械性能而被广泛应用。因此,详细的分析是至关重要的,以预测这些锥形层压板的力学响应与层终止在特定位置。在研究的开始部分,在一定的假设下,将典型的锥形复合材料结构应用——柔性梁结构的三维模型浓缩为二维模型。它是一个暴露在拉伸载荷下的对称层合结构,分析是在商业有限元方法(FEM)软件包ANSYS 16.2上进行的。研究层间应力响应有助于确定影响层压结构强度和耐久性的因素,从而指导理想布局的设计,使层压结构在各种条件下的性能最大化,防止分层。传统的3D/2D分析在计算工作量和时间方面需要大量投资。因此,本文在第二阶段引入了一种数学渐近方法——变分渐近方法(VAM)来分析这一问题。主要是将三维问题分解为一维问题,因为螺旋桨、旋翼等旋转梁的厚度相对小于其他二维。梁理论的应用涉及到只依赖于梁轴坐标的变量的引入。与经典方法不同的是,这对于捕获非线性(如拉伸-扭转耦合(梯形效应))特别有用。翘曲等,这可能是主要的薄壁梁部分发现在转子叶片和涡轮机械。为此,采用变分原理推导的几何精确本征梁理论进行分析。所得到的解包含了任意加载和堆叠顺序下结构的静力位移和旋转的渐近精确变化。平面外应力(层间应力)由全局三维平衡方程恢复,可进一步用于分层研究。
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引用次数: 0
Low Carbon Concretes Incorporating Blast furnace Slag and Cement Kiln Dust in Oman 阿曼高炉炉渣与水泥窑尘混合的低碳混凝土
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9735059
Sokrates Ioannou, M. Chowdhury, A. Ziadat
Alternative cementitious binders that are based on activation of industrial by-products with minimal amounts of Portland cement (PC) are promising low carbon candidates that can potentially complement Oman’s growing concrete industry - an industry currently faced with a number of challenges. This paper aims to explore the potential for utilizing concrete blends of CEM I, blast furnace slag (GGBS) and cement kiln dust (CKD) at strategic proportions ranging from 40-75% for GGBS and 0-35% for CKSD, in order to determine optimally performing mixes at sustainable quantities. Fresh, mechanical and permeation properties of CEM I/GGBS/CKD concrete mixes were investigated and compared against a reference PC- based concrete. The results showed that moderate amounts of GGBS and CKD within concrete may not pose any risks related to the rheology of the concrete, and moreover, an optimum combination comprising of 55% GGBS and 20% CKD appears to offer promising performance aspects related to density, strength and absorption rates.
使用少量波特兰水泥(PC)激活工业副产品的替代胶凝粘合剂是有前途的低碳候选材料,可以潜在地补充阿曼不断增长的混凝土行业,该行业目前面临着许多挑战。本文旨在探索以GGBS的40-75%和CKSD的0-35%的战略比例利用CEM I,高炉渣(GGBS)和水泥窑粉尘(CKD)的混凝土混合物的潜力,以确定可持续数量的最佳性能混合物。研究了CEM I/GGBS/CKD混合混凝土的新鲜、力学和渗透性能,并与参考PC基混凝土进行了比较。结果表明,混凝土中适量的GGBS和CKD可能不会对混凝土的流变性造成任何风险,此外,由55% GGBS和20% CKD组成的最佳组合似乎在密度、强度和吸收率方面提供了有希望的性能。
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引用次数: 0
Electrical and Optical Characterisation of CZTS Thin-Film for Sensing Applications 传感用CZTS薄膜的电学和光学特性
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9734877
Atul Kumar, N. Kumar, P. Ranjan, A. D. Thakur
The low-cost, earth abundant kesterite copper-zinc-tin-sulfide (CZTS) is the most desirable material for the upcoming sustainable energy, sensors and energy storage as well as generation. However, the research on the material was hindered due to the instability of the zinc and copper in the quaternary phase, thus, resulting in secondary complex phase with defects. This led to the structural inhomogeneity, challenges in the repeatability of the synthesis procedure and degradation (especially) in the efficiency of the solar cell. Therefore, synthesis of CZTS in right phase and purity (without any stoichiometric imbalance as well as secondary phases and defects) is a challenge to overcome. Moreover, due to the presence of copper and zinc, it is an interesting material for the scientific community as gas sensor. In this report we have synthesized CZTS through chemical synthesis and examined a spin coated CZTS thin film for probable sensing application at room temperature. We utilized the CZTS thin-film for room temperature gas sensing of the volatile organic compound (ethanol) at 68 PPM. In addition, the Phase purity of the film was confirmed by the X-ray diffraction. While, the optical characterization of the film was investigated by the UV-Spectrometer. Thickness of the film was confirmed by atomic force microscopy and the electrical characterization of the film was done by Kiethley 2420.
低成本、富土的硫化铜锌锡矿(CZTS)是未来可持续能源、传感器、储能和发电最理想的材料。然而,由于锌和铜在第四相中的不稳定性,导致该材料的二次络合相存在缺陷,阻碍了材料的研究。这导致了结构的不均匀性,合成过程的可重复性的挑战和太阳能电池效率的下降(特别是)。因此,在合适的相位和纯度下合成CZTS(没有任何化学计量不平衡,也没有二次相和缺陷)是一个需要克服的挑战。此外,由于铜和锌的存在,它是科学界感兴趣的气体传感器材料。在本报告中,我们通过化学合成方法合成了CZTS,并研究了一种自旋涂层CZTS薄膜在室温下可能的传感应用。我们利用CZTS薄膜对挥发性有机化合物(乙醇)在68 PPM的室温气敏。此外,通过x射线衍射证实了膜的相纯度。同时,用紫外光谱仪研究了膜的光学特性。薄膜的厚度由原子力显微镜确定,薄膜的电学表征由Kiethley 2420完成。
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引用次数: 1
Thermal and Chemical Analysis of Electrospun Polyacrylonitrile Nanofibers Embedded with Nanomaterial 包埋纳米材料的静电纺聚丙烯腈纳米纤维的热化学分析
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9735062
I. Hilmy, Awais Qasir, F. Majeed, W. Khan
Polyacrylonitrile (PAN) was electrospun from PAN and dimethylformamide (DMF) polymeric solution containing graphene nanoplatelets in varying weight proportions to make nanofiber composites. The diameter of fibers and surface morphology was determined by scanning electron morphology (SEM). Differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA) were employed to conduct thermal analysis. While chemical analysis was done by means of Fourier-transform infrared spectroscopy (FTIR). No significant difference was observed in glass transition temperature in all samples with and without graphene nanoplatelets. TGA analysis exhibited the stages of thermal breakdown and weight loss in each stage. FTIR spectroscopy was used to determine the chemical bonds and molecular structure.
将聚丙烯腈(PAN)与含有不同重量比例的石墨烯纳米片的二甲基甲酰胺(DMF)聚合物溶液电纺丝制成纳米纤维复合材料。利用扫描电子形貌(SEM)测定了纤维的直径和表面形貌。采用差示扫描量热法(DSC)和热重分析法(TGA)进行热分析。利用傅里叶变换红外光谱(FTIR)进行化学分析。在含和不含石墨烯纳米片的所有样品中,玻璃化转变温度没有显著差异。TGA分析显示了每个阶段的热击穿和失重阶段。用红外光谱法测定了其化学键和分子结构。
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引用次数: 0
Indentation Size Effect on the Microhardness of Ductile Iron 压痕尺寸对球墨铸铁显微硬度的影响
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9735038
A. Badmos, W. Soboyejo
The indentation size effect on the microhardness of as-rolled ductile iron has been investigated. Vickers microhardness measurements were made at different loads ranging from 10 g to 1000 g. The measured values were analyzed with the popular Nix-Gao’s plasticity model and a microstructural material-length scale parameter was determined. The hardness value was found to decrease with increasing indentation load with the indentation size effect shown to be very pronounced below about 100g and almost negligible above about 300 g. The measured hardness values were shown to be in good agreement with the well-described Nix-Gao strain gradient plasticity model with a material length scale parameter of 5.80 micrometers.
研究了轧后压痕尺寸对球墨铸铁显微硬度的影响。在10g到1000g的不同载荷下进行维氏显微硬度测量。采用流行的Nix-Gao塑性模型对测量值进行分析,确定了微观结构材料长度尺度参数。硬度值随着压痕载荷的增加而降低,压痕尺寸效应在100g以下非常明显,在300g以上几乎可以忽略不计。测量的硬度值与描述良好的Nix-Gao应变梯度塑性模型(材料长度尺度参数为5.80微米)吻合良好。
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引用次数: 1
Defect Identification and Measurement using Stereo Vision Camera for In-Line Inspection of Pipeline 基于立体视觉相机的管道在线检测缺陷识别与测量
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9735082
A. S. Saragih, Fernaldy Aditya, Waleed Ahmed
In its operation, pipelines encounter a variety of damages, from improper application and unfavorable environmental conditions, which causes defects like metal loss, corrosion, cracks, among others. Along with the growing use of mobile robotic systems for pipelines inspection, we proposed a stereo camera-based monitoring system that can scan, detect, locate, and measure internal defects, particularly on cracks and leakage. To achieve autonomy, the system utilizes a stereo camera to extract 3D information, while a deep learning algorithm, namely Convolutional Neural Network (CNN), is used to identify the defect classes. The result demonstrates the generation of 3D point clouds, classification, and defect quantification. This paper aims to cover the device specification, control solution, system performance, as well as current drawbacks and enhancement approaches.
管道在运行过程中,由于使用不当和环境条件恶劣,会造成各种各样的损坏,造成金属丢失、腐蚀、裂纹等缺陷。随着移动机器人系统越来越多地用于管道检查,我们提出了一种基于立体摄像机的监测系统,可以扫描、检测、定位和测量内部缺陷,特别是裂缝和泄漏。为了实现自主性,系统利用立体摄像头提取三维信息,同时使用深度学习算法卷积神经网络(CNN)识别缺陷类别。结果演示了三维点云的生成、分类和缺陷量化。本文旨在涵盖设备规格,控制方案,系统性能,以及目前的缺点和改进方法。
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引用次数: 1
Analyzing the Impact of High Thermal Mass and Natural Ventilation Strategies on Indoor Temperatures in an Extreme Climate 极端气候条件下高热质量和自然通风策略对室内温度的影响分析
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9734804
B. Akhozheya, S. Dagher, Hamza Slimani
The application of passive strategies in buildings has been gaining attention widely the past decade; however, it becomes more substantial in extreme environments. It can be difficult to keep a cool indoor environment in a hot summer while still having a warm indoor environment during an extremely cold winter in warm summer humid continental areas. In this paper, an emphasis will be done on applying passive strategies in extreme climates; the focus will be kept on the buildings’ envelope. A sample case study of a Minneapolis educational building was chosen. Because the majority of Minneapolis' school buildings were constructed before the implementation of energy rules, the majority of them will require extensive renovations to meet the current legal requirements. This study used extensive virtual studies on an energy modeling tool to uncover passive design characteristics. The measures targeted were aimed at reducing huge heating and cooling loads in the winter and summer, respectively. To achieve the reduction in heating loads, a study was done on the indoor temperatures applying high thermal mass on the envelope construction elements. Cooling loads were reduced by focusing on the effect of natural ventilation strategies on indoor temperatures. The total effect of applying high thermal mass instead of the medium thermal mass within the building envelope can be seen in the 4-hour delay of peak temperatures inside the classroom. Moreover, to tackle the cooling loads, an emphasis was held on the use of natural ventilation strategies in summer. Applying high thermal mass and night flushing resulted in a 3 oC decrease in peak temperatures in summer. A CFD analysis was done to make sure that human comfort is maintained in terms of air velocities inside the classroom. Finally, it can be concluded that performing a thorough climatic and case study analysis to determine the best combination of passive techniques can significantly reduce energy use.
近十年来,被动式策略在建筑中的应用受到了广泛关注;然而,它在极端环境中变得更加重要。在炎热的夏天保持凉爽的室内环境,而在温暖的夏季潮湿的大陆地区,在极端寒冷的冬天仍然保持温暖的室内环境是很困难的。在本文中,将重点放在应用被动策略在极端气候;重点将放在建筑的外壳上。一个示例明尼阿波利斯教学楼被选的案例研究。由于明尼阿波利斯的大多数学校建筑都是在能源法规实施之前建造的,因此它们中的大多数将需要进行大规模的翻新,以满足当前的法律要求。本研究对能量建模工具进行了广泛的虚拟研究,以揭示被动式设计的特征。针对性的措施旨在减少巨大的加热和冷却负荷在冬天和夏天,分别。为了减少热负荷,对室内温度进行了研究,并在围护结构元素上施加了高热质量。冷却负荷减少关注自然通风策略对室内温度的影响。在建筑围护结构内应用高热质量而不是中等热质量的总体效果可以在教室内峰值温度延迟4小时中看到。此外,为了解决冷却负荷,重点是在夏季使用自然通风策略。采用高热质量和夜间冲洗导致夏季峰值温度降低3℃。进行了CFD分析,以确保在教室内的空气速度方面保持人体的舒适性。最后,可以得出结论,进行彻底的气候和案例研究分析,以确定被动式技术的最佳组合,可以显着减少能源使用。
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引用次数: 2
Analyzing The Impact of Different Meteorological Variables on Large-Scale Solar generation: A Case Study of Spain 不同气象变量对大规模太阳能发电的影响分析——以西班牙为例
Pub Date : 2022-02-21 DOI: 10.1109/ASET53988.2022.9734967
Sarah Kandil, Fatemeh Marzbani, A. Alzaatreh
Scarcity and adverse environmental impacts of fossil fuels for electricity generation along with international emission reduction goals necessitate large-scale integration of renewable energies into power grids. These resources have intermittent nature which leads to a tradeoff between the inclusion of large shares of such sources of energy into the electricity network and their economical and environmental advantages. Therefore, it is important to study the impact of different meteorological variables on solar generation. To that end, correlation and interdependence among different meteorological variables were analyzed, and multiple linear regression was utilized to determine the significant variables that impact solar generation. Four years of hourly cumulative total solar generation of Spain has been used as a case study along with its meteorological variables. Twelve different multiple linear regression models were developed for each month and the significant variables were reported. The dependent variable was the cumulative solar generation in MW and the independent variables were the temperature, humidity, wind speed, pressure, and cloudiness. The variables with the highest influence were recorded for different months.
化石燃料发电的稀缺性和对环境的不利影响,以及国际减排目标,需要大规模将可再生能源并入电网。这些资源具有间歇性,导致在将大量此类能源纳入电网及其经济和环境优势之间进行权衡。因此,研究不同气象变量对太阳能发电的影响具有重要意义。为此,分析不同气象变量之间的相关性和相互依赖性,并利用多元线性回归确定影响太阳能发电的显著变量。西班牙四年的每小时累积总太阳能发电量及其气象变量被用作案例研究。每个月建立12个不同的多元线性回归模型,并报告显著变量。因变量为MW累计太阳能发电量,自变量为温度、湿度、风速、气压和云量。在不同月份记录影响最大的变量。
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引用次数: 0
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2022 Advances in Science and Engineering Technology International Conferences (ASET)
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