【正文】
次要的加工表面為軸瓦鎖口槽、油孔、大頭兩側(cè)面及連桿體和蓋上的螺栓座面等。連桿機(jī)械加工路線是圍繞主要加工表面來安排的。連桿加工路線按連桿的分合可以分為三個(gè)階段:第一個(gè)階段為連桿體和蓋切開之前的加工;第二個(gè)階段為連桿體和蓋的切開加工;第三個(gè)階段為連桿體和蓋合裝后的加工。第二方面:主要是關(guān)于夾具的設(shè)計(jì)方法及其步驟。(1)、定位方案的設(shè)計(jì):主要確定工件的定位基準(zhǔn)及定位基面;工件的六點(diǎn)定位原則;定位元件的選用等。(2)、夾緊裝置的設(shè)計(jì):針對連桿的加工特點(diǎn)及加工的批量,對連桿的夾緊裝置應(yīng)滿足裝卸工件方便、迅速的特點(diǎn),所以一般都采用自動夾緊裝置。(3)、夾具體設(shè)計(jì):連桿的結(jié)構(gòu)特點(diǎn)是比較小,設(shè)計(jì)時(shí)應(yīng)注意夾具體結(jié)構(gòu)尺寸的大小。夾具體的作用是將定位及夾具裝置連接成一體,并能正確安裝在機(jī)床上,加工時(shí)能承受一部分切削力。所以夾具體的材料一般采用鑄鐵。(3)、定位精度和定位誤差的計(jì)算:對用于粗加工的夾具,都應(yīng)該進(jìn)行定位誤差和穩(wěn)定性的計(jì)算,以及設(shè)計(jì)的夾具能否滿足零件加工的各項(xiàng)尺寸要求。(5)、繪制夾具裝備圖及夾具零件圖。由于本人水平有限,設(shè)計(jì)中難免會有不少的錯(cuò)誤,懇請各位老師和同學(xué)指正。致謝本次畢業(yè)設(shè)計(jì)是在范智廣老師的指導(dǎo)下完成的,設(shè)計(jì)期間得到了老師和同學(xué)們的熱心指導(dǎo)和幫助,在此,我特向他們表示由衷的感謝和誠摯的敬意。尤其是范智廣老師,在設(shè)計(jì)過程中給予我許多耐心的分析、講解,幫我解決了不少難題,提出了不少的建議和意見,并且也介紹了許多寶貴的經(jīng)驗(yàn),再次深表敬意和感謝。論文的選題、研究的方向和設(shè)計(jì)內(nèi)容都得到老師的精心指導(dǎo)與熱情的幫助。老師嚴(yán)謹(jǐn)細(xì)致的作風(fēng),豐富的理論知識給了我很深的啟迪,使我受益匪淺。我的論文是在老師們的悉心指導(dǎo)和嚴(yán)格要求下完成的,我的每一點(diǎn)進(jìn)步和提高都得益于老師的指導(dǎo)、鼓勵(lì)、影響和支持;同時(shí)也使我在思維方法、工作作風(fēng)以及學(xué)習(xí)態(tài)度方面得到進(jìn)步。盡管我付出了很多時(shí)間與精力。但是我很興慰。通過此次設(shè)計(jì),使我的素質(zhì)提高了很多。專業(yè)與電腦的結(jié)合。使我綜合解題能力進(jìn)一步提高。對知識的融合貫通。為我以后的工作奠定了堅(jiān)實(shí)的基礎(chǔ)。由于我水平有限,錯(cuò)誤和缺點(diǎn)在所難免,敬請大家批評指正,以從使我知識得到不斷的更新。 最后感謝所有關(guān)心和幫助過我的老師們、同學(xué)們!參考文獻(xiàn)[1].曹惟慶. 連桿機(jī)構(gòu)的分析與綜合[M]. 北京:科學(xué)出版社. 2002.[2].華大年、華志宏. 連桿機(jī)構(gòu)設(shè)計(jì)與應(yīng)用 [M]. 北京:. [3].林家讓. 汽車構(gòu)造:發(fā)動機(jī)篇[M]. 北京: . [4].于洪水. 發(fā)動機(jī)與汽車原理[M]. 北京:北京大學(xué)出版社,2005.[5].林學(xué)東. 發(fā)動機(jī)原理[M]. 北京:機(jī)械工業(yè)出版社,2008.[6].張西振. 吳良勝. 發(fā)動機(jī)原理與汽車?yán)碚揫M]. 北京人民交通出版社,2008.[7].李 洪. 機(jī)械加工工藝手冊[M]. 北京出版社,1996.[8].孫麗嬡. 機(jī)械制造工藝及專用夾具[M].冶金工藝出版社,2003.[9] 李 洪. [10].徐逢源. 汽車設(shè)計(jì)[M]. .[11].. 機(jī)床夾具設(shè)計(jì)[M]. .[12].. 機(jī)械設(shè)計(jì)[M]..[13].第一汽車廠職工大學(xué). 機(jī)床夾具設(shè)計(jì)手冊[M]..[14].吳雄彪. 機(jī)械制造技術(shù)課程設(shè)計(jì)[M]. 杭州:浙江大學(xué)出版社,2005.[15].. 切削用量簡明手冊. 北京:.[16].陳宏鈞,[M].機(jī)械工業(yè)出版社. 2004。[17].王季琨,[M].天津大學(xué)出版社, 。[18].[M].。[19].[M].。[20].[M].。附錄1:外文文獻(xiàn)翻譯原文及其譯文Introduction to Modern Control TheorySeveral factors provided the stimulus for the development of modern control theory: a. The necessary of dealing with more realistic models of system.b. The shift in emphasis towards optimal control and optimal system design. c. The continuing developments in digital puter technology. d. The shorting of previous approaches. e. Recognition of the applicability of wellknown methods in other fields of knowledge.The transition from simple approximate models, which are easy to work with, to more realistic models, produces two effects. First, a large number of variables must be included in the models. Second, a more realistic model is more likely to contain nonlinearities and timevarying parameters. Previously ignored aspects of the system, such as interactions with feedback through the environment, are more likely to be included. With an advancing technological society, there is a trend towards more ambitious goals. This also means dealing with plex system with a large number of interacting ponents. The need for greater accuracy and efficiency has changer the emphasis on control system performance. The classical specifications in terms of percent overshoot, setting time, bandwidth, etc. have in many cases given way to optimal criteria such as mini mum energy, minimum cost, and minimum time operation. Optimization of these criteria makes it even more difficult to avoid dealing with unpleasant nonlinearities. Optimal control theory often dictates that nonlinear timevarying control laws are used, even if the basic system is linear and timeinvariant. The continuing advances in puter technology have had three principal effects on the controls field. One of these relates to the gigantic superputers. The size and the class of the problems that can now be modeled, analyzed, and controlled are considerably large than they were when the first edition of this book was written. The second impact of the puter technology has to so with the proliferation and wide availability of the microputers in homes and I the work place, classical control theory was dominated by graphical methods because at the time that was the only way to solve certain problems, Now every control designer has easy access to powerful puter packages for systems analysis and design. The old graphical methods have not yet disappeared, but have been automated. They survive because of the insight and intuition that they can provide, some different techniques are often better suited to a puter. Although a puter can be used to carry out the classical transforminverse transform methods, it is used usually more efficient for a puter to integrate differential equations directly.The third major impact of the puters is that they are now so monly used as just another ponent in the control systems. This means that the discretetime and digital system control now deserves much more attention than Modern control theory is well suited to the above trends because its timedomain techniques and its mathematical language (matrices, linear vector spaces, etc.) are ideal when dealing with a puter. Computers are a major reason for the existence of state variable methods.Most classical control techniques were developed for linear constant coefficient systems with one input and one output (perhaps a few inputs and outputs). The language of classical techniques is the Laplace or Ztransform and transfer functions. When nonlinearities ad time variations are present, the very basis for these classical techniques is removed. Some successful techniques such as phaseplane methods, describing function s, and other ad hoc methods, have been developed to alleviant this shorting.However, the greatest success has been limited to loworder systems. The state variable approach of modern control theory provides a uniform and powerful method of representing systems of arbitrary order, linear or nonlinear, with timevarying or constant coefficient. It provides an ideal formulation for puter implementation and is responsible for much of the progress in optimization theory. Modern control theory is a recent development in the field of control. Therefore, the name is justified at least as a descriptive title. However, the foundations of modern control theory are to be found in other wellestablished fields. Representing a s