电化学去毛刺及小型成型的工艺研究及应用

电化学去毛刺及小型成型，以发展国家的电化学加工（电解技术）作参考，结合我国的技术水平现状及发展方向，进行了电化学去毛刺机床和去毛刺及小型成型工艺的研究开发。     

热力去毛刺工艺的研究

“热力去毛刺”产是一种高效去毛刺新工艺，该工艺使用气体作为工质。由于气体的可达性很好，因而对去除深孔、沟槽、交叉孔及不通孔内的毛刺极为有效。采用这种去毛刺工艺后，是否会对零件的形状和尺寸精度有所影响，这是生产部门十分关注的问题。为此，本文对此进行了研究。一、热力去毛利的工作原理热力去毛刺的工作原理是将氢气和氧气或氧气和天然气通入密闭容器（爆燃室）形成混合气，用火花塞将其点燃，在瞬时内产生爆燃，放出大量热能，使毛刺达到自燃温度而将其烧掉，见附图。热力去毛刺的爆燃时间极短，使用红、氧气体时，只有2～3…     

去毛刺是不可忽视的工序

去毛刺是不可忽视的工序一汽集团公司工艺研究所（长春１３００１１）徐立收稿日期：１９９７年８月一、毛刺生成原因及去毛刺的必要性１．毛刺生成原因切削加工后的工件上带有毛刺有多种原因,主要与工件材料、切削用量、刀具类型、刀具几何参数、切削力和工件形状等有关...     

活塞环端面去毛刺机的设计与应用

本文对活塞环在加工过程中产生的毛刺进行了分析,介绍了自主设计的专用端面去毛刺设备的原理及加工方法。     

浅谈冲压件去毛刺技术

冲压件在加工中产生的毛刺,不仅影响产品外观,还会影响产品性能,增加机械运转时的噪声,成为设备故障的隐患。而去毛刺的工作量很大,费用较高,有人曾作过统计:冲压加工中去毛刺的费用占产品成本的2～15％。可见去毛刺技术有较大的实际意义。为此,本文对冲压件的去毛刺技术进行粗浅探讨,提出去除毛刺的有效方法。     

机械零件去毛刺工艺

机械零件在加工制造过程中产生的毛刺,对零件的精度、使用、再加工定位、操作安全和外观质量等许多方面都产生不良影响。同时,由于去毛刺要花费很多的时间和费用,也成为降低成本的最大障碍之一。所以,对于毛利要引起足够重视,设法减少毛刺的产生,努力提高去毛刺技术。 目前,去毛刺技术已受到各工业发达国家的普遍重视,成立了许多专门研究机构,进行了大量研     

冲压件去毛刺工艺方法探讨

合理选用去毛刺工艺的制约因素很多，往往要迁就现有生产条件、工人技术素质及操作习惯，合理选用恰当去毛刺工艺对提高生产效率和产品的质量、降低制造成本起着重要的影响.介绍各种板料冲压工艺过程中冲压件机械去毛刺工艺的种类、原理、适用范围及选择依据。     

活塞去毛刺新技术

提出了活塞去毛刺采用行星运动机构，活塞垂直安置在滚筒内，由工件及磨料的运动彻底地去除毛刺；用于曲拐的去毛刺，增加过渡齿轮的方法，可使滚筒中内、外侧加工零件的公转及自转力矩相近，并使磨料对其工件磨削、碰撞及刻划等微切加工，达到去毛刺均匀、彻底的目的。     

改善板坯的去毛刺效果

板坯端面的毛刺是在切割过程中留下的,对板卷的质量有很大的影响,文中通过对去毛刺机工作原理以及过程的分析,总结出板坯去毛刺效果不理想的原因,并提出相应整改措施,从而改善板坯的去毛刺效果。     

毛刺的研究现状及去除技术

论述车削、钻削、铣削毛刺研究的分类及其主要的影响因素。针对毛刺的危害 ,介绍几种生产实际中常用的去毛刺方法。阐述提高毛刺测量技术、扩大毛刺研究领域、制定毛刺标准和建立毛刺形成预报专家系统的必要性。     

基于TRIZ的二级类比概念设计研究

创新问题解决理论求解领域问题所得到的解及相应的设计实例作为类比设计的源设计，将创新问题解决理论过程转变为第一级类比过程，提出了其过程模型。将上述过程的结果作为情景，按基于情景的类比设计原理，提出了第二级类比过程模型。两级类比过程模型集成形成了基于创新问题解决理论的二级类比概念设计过程模型。该模型分为9步，不仅应用了创新问题解决理论标准化的问题求解过程及已积累的知识库，也能发挥设计人员的创新能力。上述模型已应用于国产圆网造纸机烘干部件的概念创新设计实例中，证明了该模型的有效性。     

一种航空液冷机箱集成制造工艺技术

文中以一种兼有“蛇形水道”和“深孔水道”的航空液冷机箱作为实例,进行集成制造工艺研究.从工艺方法选择、材料选择及工艺流程三个方面进行论述,确定水道和机箱成形工艺方案.对总体工艺方案、水道成形工艺方案、机箱成形工艺方案等方面中的关键工艺技术进行了详细分析,针对研制过程中出现的问题,提出了具体有效的解决方案.通过对研制结果的分析,验证了上述工艺方案的可行性.     

业务过程仿真联邦的设计与实现

为了解决跨企业业务过程的仿真问题,将高层体系结构应用于业务过程仿真领域.给出了业务过程仿真联邦的体系结构,将业务过程仿真联邦分为业务过程仿真联邦对象模型、管理联邦成员、业务过程仿真联邦成员和仿真运行监视联邦成员4个组成部分;提出了业务过程的仿真联邦对象模型;讨论了业务过程仿真联邦生命周期的管理方法、各个联邦成员的职责和时间管理方法以及联邦成员订阅和发布的对象属性和交互,给出了链式、嵌套式和并行同步3种互操作模式下,业务过程仿真联邦成员订阅和发布对象属性和交互的原则.最后,结合某型号直升机旋翼虚拟设计过程,给出了建立业务过程仿真联邦的实例.     

基于信息优化的加工过程神经网络控制

为了提高加工过程生产率和保证加工精度,以加工过程的恒切削力控制作为研究对象,将信息论原理和神经网络智能控制理论应用于加工过程控制,以信息熵作为加工过程智能控制系统的性能测度能统一各级性能指标,将神经网络作为加工过程控制输入和系统输出的信息传输通道,确定了神经网络基于信息优化的目标函数,推导出了信息优化的三层BP神经网络学习算法,提出了恒力切削过程中基于信息优化的神经网络控制系统框架.通过加工过程的仿真实例证明,与传统自适应神经网络控制方法相比,基于信息优化的神经网络控制方法收敛精确,速度快,振荡小,系统超调量小,具有较好的综合性能.研究结果为信息理论应用于加工过程控制提供了有效途径.     

Agent technology for collaborative process planning: a review

Agent technology has been considered as a promising approach for developing process planning systems and optimizing process plans in a distributed environment. A number of researchers have attempted to use agent technology in process planning for the purpose of integrating systems, tools and algorithms which are geographically distributed. In this paper, the historical background of agent technology is systematically reviewed. A comprehensive review of agent technology and its applications in manufacturing is presented including the applications of agent in scheduling, control, and enterprise integration and supply chain management. The focus of the paper is on how agent technology can be further developed in the support of collaborative process planning as well as its future research issues and directions in process planning. The current research directions in computer aided process planning (CAPP) and issues in traditional CAPP approaches are also discussed. Three agent-based approaches for process planning are presented. Finally, the key issues in developing agent-based collaborative process planning systems are summarized.     

Process variables determining the dimensional and metallurgical properties of directionally solidified,cored turbine blades produced by investment casting of super-alloys

The investment casting process for the manufacture of directionally solidified, cored turbine blades is described. The dimensional and metallurgical properties of blades produced by this process is subject to variations which can result in long lead times in development and scrap during production. The process variables that determine the dimensional and metallurgical properties have been identified and classified in order of importance. The objective of the research is the formation of a database of process variables that can be used as a basis for control of the casting process and for predicting the final geometry as a result of the process.     

数字化工厂技术在发动机缸盖工艺规划中的应用

首先阐述了数字化工厂的概念以及工艺规划所起的主要作用,然后分析了数字化工艺规划的框架和实施步骤,通过应用Tecnomatix解决方案中eM Power软件,以某发动机缸盖的生产线规划为例,特别研究了数字化工艺规划中基础数据库的建立以及特征识别等部分,从而得出数字化技术在工艺规划中所发挥的巨大作用及其广阔的应用前景.     

Analysis of magnetorheological fluid behavior in chemo-mechanical magnetorheological finishing (CMMRF) process

Advanced nanofinishing is an important process in manufacturing technologies due to its direct influence on optical quality, bearing performance, corrosion resistivity, bio-medical compatibility and micro-fluidics attributes. Chemo-mechanical magnetorheological finishing (CMMRF) process, one of the advanced nanofinishing process, was developed by combining essential aspects of chemo-mechanical polishing (CMP) process and magnetorheological finishing (MRF) process for surface finishing of engineering materials. The CMMRF process was experimentally analyzed on silicon and copper alloy to generate surface roughness of the order of few angstroms and few nanometers respectively. However, the process needs theoretical exploration towards better understanding, process optimization and result prediction. Hence, an attempt has been made for theoretical study of CMMRF process to analyze the effects of MR fluid under various process parameters. The present theoretical work is split as per following two sub-activities to simplify intricacy of the work.1) FEA-CFD simulation to analyze magnetism, polishing pad formation and polishing pressure during the CMMRF process. The simulation results are used to conduct experiments on aluminium alloy.2) A mathematical model has been developed to predict material removal as well as surface roughness during the CMMRF process. Model validation is conducted by comparing finite element simulation results with the experiments on aluminium alloy.The theoretical results show good agreement with the experimental data and the same has been discussed in this paper.     

Effect of process parameters on impact strength of Al-7% Si alloy castings produced by VAEPC process

The castings produced by the evaporative pattern casting (EPC) process have blow holes. The blow holes in EPC castings are because of the non-escape of the gas produced as a result of burning of polystyrene pattern in the sand mold. To overcome the problem of blow holes, the EPC process is combined with the vacuum (V)- process. The vacuum applied to EPC mold draws the decomposed gases and improves the casting quality produced by the EPC process. The developed hybrid process has been termed as the vacuum assisted evaporative pattern casting (VAEPC) process. The objective of this paper to investigates the effect of process parameters, i.e, degree of vacuum, pouring temperature, grainfineness number, amplitude of vibration and time of vibration on the impact strength of Al-7% Si alloy castings in VAEPC process. In order to evaluate the effect of selected process parameters, the response surface methodology (RSM) is used to formulate a mathematical model which correlates the independent process parameters with the desired impact strength. The central composite rotatable design has been used to conduct the experiments. The results indicate that the impact strength decreases with increases in the grainfineness number and pouring temperature. Whereas, it has an inverse relationship with amplitude of vibration, time of vibration and degree of vacuum. The best value of impact strength (2.34 N/mm²) has been obtained at 400 mm Hg degree of vacuum imposed, 650°C as pouring temperature, 60 as sand grainfineness number, 460 μm as amplitude of vibration, and 70 s as time of vibration.     

Process control of product quality

This paper describes a method to control output product quality (product variability) by applying engineering or automatic process control (APC) and statistical process control (SPC) techniques. APC techniques have been used to control process variables such as feed rate, temperature, pressure, viscosity, and to product quality variables as well. SPC techniques have also been applied to control product quality. APC and SPC techniques overlap at the interface of the two process control methodologies. It is possible to produce material of desired quality by having an acceptable level of variation in the measured output characteristics. APC aims to maintain certain key process variables as near their set points for as much of the time as possible. There are situations in process control where some form of feedback control is necessary and yet where stability cannot be easily attained in the feedback control loop. Disturbance (noise) afflicts a process, which together with issues of dynamics and dead time (time delay) compounds the process control problem. The process control practitioner faces a challenge while tackling issues of process delay (dead time) and dynamics (inertia). Process control of product variability (control error standard deviation) is possible by developing and simulating a feedback control algorithm for dead-time processes. It is quite common to encounter problems connected with feedback (closed-loop) control stability, controller limitations, and dead-time compensation to obtain minimum variance (mean square error) control at the output. Details of a method to control the quality of a product at output by applying statistical process monitoring and feedback control adjustment are presented in this paper. The focus of this paper is on the issues of process delay ("dead time") and dynamics ("inertia") at the interface between SPC and APC to control output product quality.