軋機壓下裝置設(shè)計

軋機壓下裝置設(shè)計,軋機,壓下,裝置,設(shè)計 畢業(yè)設(shè)計中英文翻譯 學(xué)生姓名： 學(xué)號： 學(xué) 院： 專 業(yè)： 機械設(shè)計制造及其自動化 指導(dǎo)教師： 年 月  Sensible Machinery ONLY 15 years ago it seemed that further advances in automation equipment would simply comprise the design, and digital control, of more and more accurate and reliable machinery which could be coupled into large systems to carry out the required manufacturing operations on parts whose material properties, tolerances, and handling accuracy could all be made increasingly perfect. It was left largely to research in the field of cognitive science and robotics to study what effects the interconnection of perception, decision making and manipulation might have in the evolution of a different breed of machine which, by observing its own action, could judge how best to complete its task. Evidently, senseless machinery required an almost perfect world in which to operate properly. The question was whether it would be economic to make all aspects of batch production in industry sufficiently perfect. Robot researchers felt certain that the sensor driven machines they were evolving would be required for hostile environments, such as for winning primary energy resources. They hoped, but could not be certain, that their cost would be increasingly justified in normal industrial manufacture. It is now clear that the use of sensors to control machines continuously, or alternatively to verify their operation, can be highly cost effective, at least in particular areas of batch manufacture, and will be the basis of an important future industry. Examples of such areas are: sensing systems to monitor tool condition in metal removal machines; force and torque sensing for robot assembly systems, automatic inspection machines using visual techniques for 100% checking of panels and castings between other operations; and tracking sensors for arc welding and seam sealing by robot. To deal economically with diffe rent applications like these the sensor systems have so far been rather specialised, both as to the transducer hardware and the associated software. There are now, however, encouraging signs of commonality emerging between different sensor application areas. For example, .many commercial vision systems and some emerging tactile systems are able to use more or less standardised techniques for image processing and shape representation; and structured-light triangulation systems can be applied with relatively minor hardware and software changes to measure 3-D profiles of objects as diverse as individual soldered joints, body pressings, and weldments. Sensors make it possible for machines to recover intelligently from errors, and standard software procedures such as expert systems can now be applied to facilitate this. An open question still is how the supply side of the market for sensor systems in advanced manufacture will actually develop. So far there has been somewhat of a dichotomy between the companies manufacturing automatic inspection equipment, designed to be linked into CIM systems but not required for continuous control of any machine within the system, and the companies producing NC and other robot equipment incorporating continuous control by sensors. The former market and manufacturers within it have become reasonably well established and can confidently look to a growth of 40% or more per annum. The market for sensor controlled machinery is only now beginning to establish itself, although growth prospects look equally encouraging. There are two obvious obstacles facing a company such as our own in becoming established in this market. The first is that, so far, sensors and intelligence for robot systems have been seen as a very cost effective accessory to a basic manipulator arm, but not an essential part of the system. This means that the purchaser expects the sensor system to be a relatively small fraction of the total cost. To secu re a large enough sales volume, the sensor manufacturer must aim to make his equipment compatible with the largest possible number of existing manipulator systems. This leads immediately to the second obstacle, namely the great diversity in computing capability and external interfaces presented by robot and NC controllers from different world manufacturers. The importance of moving towards standardisation of the interface between sensor and machine controller is paramount if the utilisation of sensor control is to be accelerated. Initiatives such as the proposed DIN standard to cover continuous The International Journal of Advanced Manufacturing Technology two-way exchange of information between sensor and controller are crucial to development of the industry. The interface specification must not only cover high-speed exchange of absolute position data and spatial correction information, but also the handling of 3-D geometric-model information required for advanced model-driven pattern recognition procedures within the sensor. In future this emerging industry may polarise in at least two different ways. One would be to become focussed around existing manufacture of controllers, as with Automatix and GE, although so far this has not been a very strong trend. Another possibility is that the market will instead become focussed around specialist manufacturers of transducers and software, whose aim will be to sell to the manufacturing engineer the best possible integrated system to solve a particular manufacturing task. In these, the actual choice of manipulator will be of secondary importance compared to the unique capabilities provided by proprietary sensing and computer intelligence. It is too early to be certain which approach will dominate. What is certain, is that sensible machinery is here to stay and it is encouraging to see a good flow of contributions to the AMT Journal describing advances in the relevant sensor and software technologies. P. G. Davey, Meta Machines Ltd, England 明智的機械 15年前，在自動化設(shè)備的設(shè)計中看起來更先進的是，通過簡單的組成和數(shù)字控制，愈來愈多的精度高的可靠的機械耦合到了大系統(tǒng)中去執(zhí)行，這樣可以使所要求生產(chǎn)的操作部件的材料特性、公差和處理精度越來越完善。它主要研究在剩下的認知科學(xué)技術(shù)研究的互連產(chǎn)生什么影響感知、決策和處理可能正在進化，不同種類的機器,通過觀察自己的行為，可以判斷如何最好地完成任務(wù)。顯然，需要一個幾乎完美的世界的機械設(shè)備的正常工作。問題是他是否會成為經(jīng)濟使各方面的批量生產(chǎn)的工業(yè)充分完善。機器人研究者感到一定驅(qū)動機器就進化傳感器需要惡劣的環(huán)境中，例如贏得主要能源資源。他們希望,但無法確定,那他們就會越來越正當(dāng)?shù)馁M用一般工業(yè)生產(chǎn)。 現(xiàn)在已經(jīng)很清楚，使用傳感器來控制機器，或干脆去核實他們的操作,可以極具成本效益的,至少是在特定的領(lǐng)域,并將批量生產(chǎn)現(xiàn)狀的基礎(chǔ)上,提出了產(chǎn)業(yè)。這樣的例子是：傳感系統(tǒng)領(lǐng)域中刀具狀態(tài)監(jiān)控、切削力及力矩平衡感應(yīng)機器人裝配系統(tǒng)、自動檢測機利用視覺技術(shù)為100%檢查其它操作面板及鑄件之間，跟蹤傳感器對電弧焊接,焊縫封由機器人。經(jīng)濟與排水處理這些應(yīng)用的租金傳感器系統(tǒng)迄今為止已相當(dāng)專業(yè),兩個傳感器的硬件和相關(guān)的軟件?，F(xiàn)在，但是，令人鼓舞的跡象出現(xiàn)不同傳感器的應(yīng)用領(lǐng)域之間。例如，許多商業(yè)視覺系統(tǒng)和一些新興的觸覺系統(tǒng)都能使用或多或少的標準化技術(shù)對圖像處理及形狀表示，結(jié)構(gòu)化的光三角系統(tǒng)可以用較小的硬件和軟件變化測量物體的三維型材等不同個體焊接接頭、身體所費無幾,直至消失。傳感器，這使機器恢復(fù)機智的誤差,并從標準的軟件程序,如專家系統(tǒng),現(xiàn)在可以被用于促進這一。 一個未解決的問題仍然是怎樣的市場供應(yīng)系統(tǒng)中傳感器的先進制造會發(fā)展。到目前為止已經(jīng)有稍微的制造商之間的對立的自動檢測設(shè)備，設(shè)計成CIM系統(tǒng)聯(lián)系在一起而感到高興，但并不是必需的任何機器內(nèi)部控制制度，公司生產(chǎn)的數(shù)控及其它機器人設(shè)備將由傳感器控制。前者的市場和制造商在它已經(jīng)成為相當(dāng)不錯，可以建立自信，增長40%或者更多。市場對傳感器控制機器才剛剛開始建立本身,盡管前景同樣令人鼓舞。有兩個明顯的障礙等公司建立了自己的市場。第一個是,到目前為止，傳感器和智能機器人系統(tǒng)已經(jīng)被看作是一個非常有效的輔助，一個基本的機械臂臂，但沒有系統(tǒng)的重要組成部分。這意味著買方預(yù)計該傳感器系統(tǒng)是一個相對較小的部份的總成本。是一個足夠大到西沽銷售量,傳感器的目的是使他制造商必須設(shè)備兼容的最大可能已有的機械手系統(tǒng)。這導(dǎo)致立即去第二大障礙,即偉大的多樣性，提出了計算能力的機器人，由外部接口不同世界的制造商NC控制器。走向標準化的重要性之間的接口傳感器和機控制器是最重要的,如果使用傳感器控制是為了加速。主動提出DIN標準等國際期刊涵蓋連續(xù)的先進制造技術(shù)之間的雙向交流的信息是至關(guān)重要的，傳感器與控制器的行業(yè)發(fā)展。這個接口規(guī)范必須不僅涵蓋的絕對位置數(shù)據(jù)的高速交換和空間，而且更正信息處理幾何模型所需信息的三維模型驅(qū)動模式識別程序先進的傳感器。 這個新興的行業(yè)在未來可能對應(yīng)至少兩種不同的方法。一個將會成為集中在目前制造的控制器，隨著自動化設(shè)備和通用電氣的發(fā)展，雖然到目前為止還沒有經(jīng)過一個很有力的趨勢。另一種可能性是,市場將成為專業(yè)制造商，周圍的集中和軟件，它的目的將被賣到制造工程師最好的集成系統(tǒng)來解決一個特定的生產(chǎn)任務(wù)。在這些，實際的選擇的機械手將次要的獨特能力相比，提供專有的傳感和電腦智能。它一定還為時過早,方法將主宰。有一點可以肯定,那是明智的機械將呆在這里,這是令人鼓舞的，看見一個良好的流動的貢獻，描述了雜志的用量有關(guān)傳感器和軟件技術(shù)。 P.G.戴維，梅塔機械有限公司，英格蘭