某型航空发动机双联卡箍组件焊接自动化装备研究

随着先进制造技术的发展,实现焊接产品制造的自动化、柔性化与智能化已经成为必然趋势,采用焊接自动化装备已经成为焊接技术自动化的主要标志。焊接自动化装备因具有生产过程自动化、劳动生产率高、产品质量稳定、劳动强度小、可在有害环境中作业等特点,在各工业领域焊接生产过程中得到了日益广泛的应用。本文重点阐述了某航空发动机电缆双联卡箍组件焊接自动化装备方案设计及研究。     

Computer aided manufacturing planning for mass customization: part 2, automated setup planning

Setup planning plays a crucial role in CAPP to ensure product quality while maintaining acceptable manufacturing cost. The tasks of setup planning include identifying manufacturing features and corresponding manufacturing processes, determining the number of setups, part orientation, locating datum and process sequence in each setup, and selecting machine tools and fixtures. An automated setup planning technique and system has been developed based on not only the tolerance analysis, but also the manufacturing resource capability analysis. The automated setup planning is divided into two levels: setup planning in single part level and in machine station level. Algorithms for setup generation and process sequencing have been developed and a case study of setup planning is presented.     

敏捷化可重组制造质量保证系统的研究

提出和解决了敏捷环境制造质量保证的关键技术，其组成模型涉及的内容是ISO9000中有关制造质量保证过程的部分。关键技术包括敏捷企业根据质量保证计划快速重组的方法、质量保证程序和工具的组件技术、以及工作流技术在质量保证系统的应用。     

我国高速加工技术现状及发展趋势

高速加工是以较快生产节拍进行加工 ,提高切削和进刀速度是高速加工技术的重要环节。高速加工技术的发展涉及到零件毛坯、刀具、机床、自动控制与检测等多种技术的综合优化 ,需要变革传统的机加工工艺路线。我国引进的轿车零部件数控自动生产线上已广泛应用高速加工技术 ,其主要目的是在确保产品质量的前提下 ,尽量缩短零件的机加工工艺路线 ,加快生产节拍 (轿车发动机生产节拍已缩短为 30秒 ) ,满足轿车高质量、高速率、低成本、大批量、社会化生产的技术要求。高速加工技术必将带动零件毛坯制造、刀具 (工具 )、数控机床、自动控制、在线检测、材料等技术的发展与进步。随着我国制造业加快融入全球化生产制造体系 ,预计高速加工技术将在信息化、柔性化机械加工领域得到进一步发展和推广应用     

Mathematical models for productivity and availability of automated lines

The basic attributes of any industrial machine are productivity rate, quality of products, as well as the cost and flexibility of manufacturing systems. Attributes of productivity are related to the theory of reliability, let alone the theory of efficiency of machines. The main attribute of reliability with any industrial machine is availability, which is the integrated index of the machine's reliability. The availability of industrial machines with complex designs should be a constituent of equations on productivity rate. This paper develops analytical equations of productivity rate with the availability of automated lines as a function of structural, technical and technological parameters of industrial machines. The equations allow for the output of automated lines to be modelled and their structures to be defined according to the level of productivity and availability.     

Simulation based energy-resource efficient manufacturing integrated with in-process virtual management

As energy efficiency is one of the key essentials towards sustainability, the development of an energy-resource efficient manufacturing system is among the great challenges facing the current industry. Meanwhile, the availability of advanced technological innovation has created more complex manufacturing systems that involve a large variety of processes and machines serving different functions. To extend the limited knowledge on energy-efficient scheduling, the research presented in this paper attempts to model the production schedule at an operation process by considering the balance of energy consumption reduction in production, production work flow (productivity) and quality. An innovative systematic approach to manufacturing energy-resource efficiency is proposed with the virtual simulation as a predictive modelling enabler, which provides real-time manufacturing monitoring, virtual displays and decision-makings and consequentially an analytical and multidimensional correlation analysis on interdependent relationships among energy consumption, work flow and quality errors. The regression analysis results demonstrate positive relationships between the work flow and quality errors and the work flow and energy consumption. When production scheduling is controlled through optimization of work flow, quality errors and overall energy consumption, the energy-resource efficiency can be achieved in the production. Together, this proposed multidimensional modelling and analysis approach provides optimal conditions for the production scheduling at the manufacturing system by taking account of production quality, energy consumption and resource efficiency, which can lead to the key competitive advantages and sustainability of the system operations in the industry.     

Modelling and analysis of FMS productivity variables by ISM,SEM and GTMA approach

Productivity has often been cited as a key factor in a flexible manufacturing system (FMS) performance, and actions to increase it are said to improve profitability and the wage earning capacity of employees. Improving productivity is seen as a key issue for survival and success in the long term of a manufacturing system. The purpose of this paper is to make a model and analysis of the productivity variables of FMS. This study was performed by different approaches viz. interpretive structural modelling (ISM), structural equation modelling (SEM), graph theory and matrix approach (GTMA) and a cross-sectional survey within manufacturing firms in India. ISM has been used to develop a model of productivity variables, and then it has been analyzed. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are powerful statistical techniques. CFA is carried by SEM. EFA is applied to extract the factors in FMS by the statistical package for social sciences (SPSS 20) software and confirming these factors by CFA through analysis of moment structures (AMOS 20) software. The twenty productivity variables are identified through literature and four factors extracted, which involves the productivity of FMS. The four factors are people, quality, machine and flexibility. SEM using AMOS 20 was used to perform the first order four-factor structures. GTMA is a multiple attribute decision making (MADM) methodology used to find intensity/quantification of productivity variables in an organization. The FMS productivity index has purposed to intensify the factors which affect FMS.     

航空电联接器玻璃压机的设计

对航空工业用的高温绝缘电连接器进行了工艺分析;针对产品的特点,给出了一种实用、高效的玻璃压机的设计和制造及液压控制工艺,有效的解决了原生产工艺产品品质不稳定、精度难保证、生产率低和劳动强度高的难题。     

A combinatorial manufacturing resource planning model for long-term CNC machining industry

Combinatorial resource planning for both machines and human resources in a computer numerical controlled (CNC) machining workstation has become a crucial factor for long-term manufacturing management. This paper not only mathematically constructs the combinatorial manufacturing resource planning (CMRP) model with the conception of balancing the machine productivity and the human capability, but also develops a step-by-step algorithm to reach the maximum-profit solution under the deterministic market demand. Additionally, to extend the applicability of the CMRP model, a computer program written with MATLAB is comprehensively prepared to achieve the optimum manufacturing resource planning under the forecasts of probabilistic market demand and product sales price. The versatility and adaptability of this study are exemplified through a numerical illustration from real-world industry. This paper contributes to the problem of conclusively scheduling machine productivity and human resources, as well as comprehensively optimising the production profit for the existing CNC machining industry .     

航空电联接器玻璃压机设计

该文对航空工业中高温绝缘电连接器进行工艺分析。针对产品的特点，给出了一种实用、高效的玻璃压机的设计、制造及液压控制工艺。有效的解决了原生产工艺产品质量不稳定、精度很难保证，生产率低，劳动强度高的难题。投入生产，获得成功。     

An Evaluative Study of Operation Grouping Policies in an FMS

The increased use of flexible manufacturing systems to provide customers with diversified products efficiently has created a significant set of operational challenges for managers. This technology poses a number of decision problems that need to be solved by researchers and practitioners. In the literature, there have been a number of attempts to solve design and operational problems. Special attention has been given to machine loading problems, which involve the assignment of job operations and allocation of tools and resources to optimize specific measures of productivity. Most existing studies focus on modeling the problem and developing heuristics in order to optimize certain performance metrics rather than on understanding the problem and the interaction between the different factors in the system. The objective of this paper is to study the machine loading problem. More specifically, we compare operation aggregation and disaggregation policies in a random flexible manufacturing system (FMS) and analyze its interaction with other factors such as routing flexibility, sequencing flexibility, machine load, buffer capacity, and alternative processing-time ratio. For this purpose, a simulation study is conducted and the results are analyzed by statistical methods. The analysis of results highlights the important factors and their levels that could yield near-optimal system performance.     

事件驱动的流水线建模与质检机器配置优化

数字孪生车间环境下获取生产数据更加便捷,使系统运行过程中收集机器故障、质检报废等扰动事件成为可能.为了科学评估并及时应对扰动事件对系统性能的影响,面向考虑质检报废的流水线,研究流水线性能评估与质检机器配置优化问题.考虑流水线中的质量检测操作,定义了质检报废事件,定量分析了机器故障与质检报废等扰动事件对系统产出的影响,建...     

Comparative influence of three flexibility types on manufacturing lead-time performance

This paper presents the results of a conceptual study and simulation experimentation aimed at understanding the impact of three important types of flexibility on the lead-time performance of a manufacturing system. The three flexibility types, viz. transformation flexibility, sequencing flexibility and product flexibility have been identified based on a new conceptual model for flexibility in manufacturing systems and supply chains. The influence of these three flexibility types has been studied using simulation models. The studies indicated that among the three, product flexibility has the greatest influence followed by transformation flexibility and the sequencing flexibility. The reasons for the inferior performance of sequencing flexibility is found to be reduction of dynamic flexibility levels as compared to its static flexibility levels and the reasons for superior performance of product flexibility is found to be the lower movement of products within the manufacturing system.     

基于华中数控系统的进给伺服轴的调试

数控机床是一种典型的机电一体化产品,随着数控机床在我国机械制造业的深入推广应用,熟悉数控机床的控制原理、安装调试方法显得日趋重要。文中以华中数控系统HNC-21T为例,详细介绍了进给伺服系统的调试过程与方法。     

刀具创新对提高金属切削效率的作用与影响

世界范围内激烈的市场竞争迫使机械制造业降低成本以保持盈利。由于加工成本的主要部分是占用机床时间的费用,因此目前人们的注意力集中在通过提高加工生产率以缩短加工周期。机床的改进,性能更优异的零件材料的开发,新的加工方法的开发以及涉及切削液安全处理的环保法规的制订等,都给刀具行业带来了新的挑战。为了回应这些挑战,刀具行业对各种刀具材料进行了卓有成效的创新。本文重点讨论刀具技术的进步对提高金属切削生产率所起的作用。     

刀具创新对提高金属切削效率的作用与影响

Intense global competition is forcing the manufacturing industry to reduce costs so as to maintain profitability. Since a major component of manufacturing cost is machine tool time, attention is focused on cycle time reduction through greater machining productivity. Advances in machine tools, development of stronger workpiece materials, new machining methods, and environmental regulations with regard to safe disposal of cutting fluids are providing additional challenges to the cutting tool industry. In response to these challenges, the industry has made significant innovations in every class of tool materials. This paper discusses the role of tooling advances in enhancing metalcutting productivity.     

The Impact of Cutting Tool Advances on Machining Productivity

Introduction The keyrole played bythe manufacturingindustryin improving the economy of nations and creating wealth is well known. To effectively compete in the global market and maintain profitability,the industryis constantlystriv- ingto reduce manufacturing costs . An examination of the various components of manufacturing costs showsthat per- ishable tooling cost typically comprises only about four percent of thetotal costto produce a component .The ma- jor costs lie in machine tool time ,ov…     

数控机床加工精度的影响因素及优化策略

先进的数控机床被应用在制造业中,不仅能够提高制造效率,还能保证制造质量。虽然从整体发展情况来看,数控机床得到了良好的应用,但是在具体的应用过程中仍然存在一些问题。数控机床的作用能否充分发挥出来在很大程度上受加工精度的影响,目前部分被应用在制造业中的数控机床存在较为严重的加工精度问题,如果不对现存问题进行科学有效的解决,将会严重影响制造业的稳定发展。本文在具体的研究过程中从数控机床的概述入手,分析了影响数控机床精度的因素,并且根据影响因素提出了切实可行的解决策略。     

Optimization of the dressing operation using load cells and the Taguchi method in the centerless grinding process

The finishing processes of industrial components use grinding due to the elevated quality generated by this method. Centerless grinding is among the main manufacturing processes due to its high flexibility, accuracy, and great volume of production that is necessary in modern industry. However, the dressing operation has been a pronounced bottleneck in the centerless grinding process due to the time lost to make the corrections in the grinding wheel. This work presents an optimization of the dressing operation in centerless grinding using load cells and the Taguchi method. The experimental tests were carried out on the shop floor of a manufacturer of shock absorbers. The input parameters were the depth of dressing, the feed rate of dressing, the diameter of the grinding wheel, and the speed of the regulating wheel. The responses were the surface roughness, the roundness error, and the dressing force. The results show that the dressing time was reduced, generating an increase in machine productivity, the surface roughness of the work pieces was reduced with an improvement in quality, and the dressing force was proportional to the depth of dressing.     

Cutting parameter optimization in NC milling

The continuous demand for higher productivity and product quality asks for better optimizing of the machining process. In this case, numerical controlled (NC) milling is a processing technology massively applied in the metal manufacturing industry; it has received very important interest in this century because it has a very high productivity and high work piece surface quality. The main objective of this work is to evaluate the machining time of different cycles, in 2.5?D NC milling. The prediction of the optimal values of cutting speed was analyzed to minimize both time and cost of die production. Optimum and economical values of cutting speed give, respectively, minimum production time and minimum production cost. An experimental study is carried out to validate machining time calculation models developed in this work. The cutting parameters analyzed in this study are cutting speed, feed per tooth, and the radial cutting depth.