本文提出一種變化鏈機構之系統化尺寸合成方法,它能讓設計者不需要使用以往的試誤法來找出變化鏈桿件的尺寸,只需要先設計出桿件的大概位置與固定接頭的位置即可,之後再利用本文提出的設計流程,即可計算求出所有桿件的尺寸,因此能夠減少許多設計時所花費的時間。 本研究應用運動平台的輸入對輸出的傾向性理論,探討兩個自由度夾緊機構的尺寸合成方法。首先以五連桿組證明傾向性理論的適用性,之後再以自動化生產線所使用的夾緊機構為例,應用傾向性理論求出此夾緊機構的桿件尺寸。依此結果,提出此種變化鏈機構之系統化尺寸合成方法的步驟流程,並使用不同初始位置而合成出不同尺寸的夾緊機構,再利用SolidWorks軟體建立其對應的3D模型,進行動態模擬,最後設定以機械利益篩選出較佳的尺寸設計。因此,本研究所提出之此種變化鏈機構的系統化尺寸合成方法,已初步證實其可行性與正確性。
This study presents a systematic method of dimensional synthesis for a variable-chain mechanism. It can let mechanism designer quickly synthesize the required links’ dimensions without using the time-cost traditional try-and-error method. This method only requires the designer roughly set the initial positions of related links and the positions of fixed joints, and then could obtain all the dimensions of links by following the steps. It can, therefore, save a significant time of design. This study applies the input-output propensity theory for kinematic platform to develop the method of dimensional synthesis for a 2-DOF clamp mechanism used in automatic assembly production line. Firstly, the applicability of input-output propensity theory is confirmed by applying to a 2-DOF five-bar linkage. Then, a clamp mechanism in automatic production line is taken as another example to apply the propensity theory to analytically synthesize the required dimensions of links. According the way of yielding the results, a systematic method of dimensional synthesis for this variable-chain mechanism is presented. Different initial positions of the input link are taken, and yields different corresponding synthesized dimensions of links. Then the corresponding 3D models to the results are set up via Solidworks software and the dynamic simulations of those models are also performed in Solidworks. A better design is selected among those potential synthesized results by setting the criteria of mechanical advantage. Through the mentioned tests, the preliminary feasibility and validity has been confirmed for this systematic method of dimensional synthesis of a special variable-chain mechanism.