【摘要】：隨著人們對產(chǎn)品的性能要求越來越高，微細(xì)加工技術(shù)及機(jī)床在很多復(fù)雜零件加工應(yīng)用越來越多，比如慣性導(dǎo)航陀螺、發(fā)動機(jī)活塞等。因此，微細(xì)加工機(jī)床開發(fā)及高效可靠的運行顯得尤為重要。本文以課題組自主研發(fā)的微細(xì)加工機(jī)床為對象，開展了微細(xì)加工機(jī)床狀態(tài)監(jiān)控技術(shù)及系統(tǒng)的研究，并取得了一些成果。 本文首先詳細(xì)介紹了微細(xì)加工機(jī)床的機(jī)械本體結(jié)構(gòu)和控制系統(tǒng)基本構(gòu)成，并根據(jù)機(jī)床的設(shè)計要求，分析并配置了狀態(tài)監(jiān)控系統(tǒng)的硬件，包括PLC、機(jī)床操作臺、液壓氣動元件等，為狀態(tài)監(jiān)控系統(tǒng)提供了硬件基礎(chǔ)。 通過調(diào)研設(shè)備狀態(tài)監(jiān)控技術(shù)，提出了采用故障樹分析法進(jìn)行系統(tǒng)開發(fā)，并設(shè)計了狀態(tài)監(jiān)控流程，同時采用.NET開發(fā)了上位機(jī)軟件，編寫了PLC程序，為機(jī)床集成與調(diào)試提供了技術(shù)支持。根據(jù)生熱和傳熱理論知識，確定了機(jī)床中電主軸熱載荷參數(shù)，開展了電主軸溫度場仿真分析，得出了電主軸轉(zhuǎn)速和冷卻液溫度對電主軸溫度的影響規(guī)律，為電主軸溫度控制提供了基礎(chǔ)數(shù)據(jù)，并采用支持向量機(jī)智能方法預(yù)測電主軸溫度，，采用粒子群優(yōu)化算法對模型參數(shù)進(jìn)行尋優(yōu)，建立了電主軸溫度預(yù)測模型，為實現(xiàn)電主軸溫度實時控制做了初步探討。
[Abstract]:With the increasing demand for the performance of products, micro-machining technology and machine tools are more and more used in the processing of many complex parts, such as inertial navigation gyroscope, engine piston and so on. Therefore, the development of micro-machining machine tools and efficient and reliable operation is particularly important. In this paper, the micro-machining machine tool, which is developed by our research group, has been studied and some achievements have been made in the technology and system of micro-machining machine tool status monitoring. In this paper, the structure of the machine body and the basic structure of the control system are introduced in detail. According to the design requirements of the machine tool, the hardware of the state monitoring system is analyzed and configured, including the PLC, machine tool operating table, the hydraulic pneumatic components and so on. It provides the hardware base for the state monitoring system. Based on the investigation of equipment status monitoring technology, this paper puts forward a fault tree analysis method for system development, and designs the state monitoring process. At the same time, the upper computer software is developed with .NET, and the PLC program is written. It provides technical support for machine tool integration and debugging. Based on the theoretical knowledge of heat generation and heat transfer, the thermal load parameters of the motorized spindle in machine tools are determined, and the simulation analysis of the temperature field of the motorized spindle is carried out, and the influence of the speed of the motorized spindle and the temperature of the coolant on the temperature of the motorized spindle is obtained. It provides the basic data for the temperature control of the motorized spindle, and adopts the intelligent method of support vector machine to predict the temperature of the motorized spindle. The particle swarm optimization algorithm is used to optimize the parameters of the model, and the temperature prediction model of the motorized spindle is established. In order to realize the real-time temperature control of the motorized spindle, a preliminary discussion is made.
【學(xué)位授予單位】：東華大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TG502

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本文編號：2353581