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80系列微型风冷活塞式压缩机设计(V80)

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无锡太湖学院毕业设计(论文)相关资料题目: 80系列微型风冷活塞式 压缩机机设计(V80) 信机 系 机械工程及自动化专业学 号: 0923192学生姓名: 储 延 指导教师: 俞 萍(职称:高级工程师 ) (职称: )2012年11月14日目 录一、毕业设计(论文)开题报告二、毕业设计(论文)外文资料翻译及原文三、学生“毕业论文(论文)计划、进度、检查及落实表”四、实习鉴定表无锡太湖学院毕业设计(论文)开题报告题目: 80系列V型风冷活塞式 缩机机设计 信机 系 机械工程及自动化 专业学 号: 0923192 学生姓名: 储 延 指导教师: 俞 萍(职称:高级工程师 ) (职称: ) 2012年11月14日 课题来源改革开放后,压缩机行业得到了快速发展, 现已形成了人才培养、科学研究、产品开发设计和制造较为完善的体系。除少数超高压和特殊气体压缩机外,现有产品品种和数量基本能 满足国民经济各部门的需要。压缩机产品在石油化工、冶金、矿山、 电力、纺织、轻工、医药、电子、建筑、机械制造、交通运输及国防 军工等各经济部门中得到了广泛应用。科学依据(包括课题的科学意义;国内外研究概况、水平和发展趋势;应用前景等)(1)课题科学意义本设计机为往复活塞式压缩机,依靠在气缸往复运动中的活塞压缩气体体积而提高其压力。压缩机工作时,在活塞从外止点到内止点运动的过程中,气缸容积(工作)处于相对真空状态,缸外一级进气缓冲罐中的气体即通过吸气阀吸入缸内,当活塞行至外止点时,气缸内充满了低压待压缩气体。当活塞由外止点向内止点运动时,吸气阀自动关闭气缸内的气体压力山于气体被逐渐压缩而不断提高,当气体压力大于排气阀外气体压力和气阀弹簧力时,排气阀打开,排出压缩气体,活塞运动到外止点时,排气终了,准备重新吸气。至此,完成了一个膨胀、吸气、压缩、排气、再吸气的工作循环。周而复始,活塞不断地往复运动,吸入气缸的气体又不断地被吸入排出,从而不断的获得脉动的压缩气体。(2)压缩机的研究状况及其发展前景随着近几年经济的飞跃发展,行业集中度有所提高,供货进一步向大企业集中,气体压缩机产业向布局逐步合理的新局面发展。通过经济战略性重组的推进,不少劣质企业退出,优秀企业已找准定位,突出主业,不断做大做强,达到强强联合,承担起国家重大技术装备项目。在相关政策方面,为应对全球性金融危机对我国经济的影响,早在09年年初,国家已经制定了一系列的刺激经济方案,重点调整振兴包括石化、冶金等气体压缩机的下游产业在内的十大产业。这些措施对气体压缩机产业的发展起到了积极的影响,这也是2009年下半年压缩机行业经济逐渐利好的主要原因。在开拓国际市场方面,压缩机行业应积极而谨慎地探索自己的国际化道路。目前,压缩机行业国际化步伐缓慢,尤其是在2009年一整年中,压缩机出口形势都不容乐观,这主要表现在国内压缩机行业技术发展水平与国外同类企业存在一定差距,尤其是目前还没有形成真正意义上的具有国际竞争力的大型国际企业集团。未来三年,我国石油、化工、冶金、船舶、环保、清洁能源等行业将进一步发展,压缩机市场需求前景依然看好。如大推力往复式压缩机、工艺螺杆压缩机、大排量无油压缩机、高压大排量压缩机、机车配套压缩机、低噪声船用压缩机等。研究内容熟悉压缩机生产过程,有一个总体的构思; 设计一款压缩机,描述其零件结构设计;掌握v80系风冷压缩机的用途; 利用所学知识,查阅资料,进行压缩机的热力计算和动力计算; 通过分析计算零件的尺寸并进行校核。拟采取的研究方法、技术路线、实验方案及可行性分析 熟悉压缩机的发展历程,特别是往复式空气压缩机技术; 完成80V风冷压缩机的热力计算和动力计算; 熟练掌握压缩机的零件结构和设计原理 掌握压缩机的原理、性质以及它的工作流程; 能够熟练AUTOCAD。针对压缩机的具体组装零件,能使用CAD清晰的表达出压缩机的结构设计和零件尺寸 研究计划及预期成果研究计划:2012年10月12日-2012年12月25日:按照任务书要求查阅论文相关参考资料,填写毕业设计开题报告书。2013年1月11日-2013年3月5日:填写毕业实习报告。2013年3月8日-2013年3月14日:按照要求修改毕业设计开题报告。2013年3月15日-2013年3月21日:学习并翻译一篇与毕业设计相关的英文材料。2013年3月22日-2013年4月11日:压缩机热力计算及动力计算。2013年4月12日-2013年4月25日: 压缩机零件设计。2013年4月26日-2013年5月21日:毕业论文撰写和修改工作。预期成果:选定压缩机,通过计算得到其各项热动力指数,并成功设计出压缩机尺寸。特色或创新之处压缩机结构精密,每个拐角上装有两个以上的连杆,使曲轴结构简长度较短,并可采用滚动轴承。设计了通过计算得到得到压缩机的各项数据,是操作更具实际化。已具备的条件和尚需解决的问题本文虽然压缩机设计做了介绍,但还需要在实际中进一步完善,如没有在实际中取得实验。本文虽然通过选定数据计算得出了压缩机的具体尺寸,但本身还存在一些待解决的问题,因此还需要进一步的研究和采用更加有效的设计方法。指导教师意见 指导教师签名:年 月 日教研室(学科组、研究所)意见 教研室主任签名: 年 月 日系意见 主管领导签名: 年 月 日中文译文Fuzzy control of the refrigeration compressor speedAbstract In this article, mention is usually applied to commercial vapor-compression refrigeration installed, using fuzzy control algorithm to control the speed of the refrigeration compressor so as to achieve the most efficient speed to control the temperature of the air conditioning. Its main objective is according to the fuzzy control algorithm, a continuous regulation of the compressor speed by the converter, and to estimate the energy saving effect; unlike traditional thermostatically controlled, by controlling the refrigerating capacity of the compressor, is applied to the control the switching operation frequency of the compressor 50Hz . Control the supply current of the motor of the compressor reaches the speed change range is 30-50Hz, lubrication problems due to the rotational frequency is too low there will be a result of a splash system appears today are provided on the rotational frequency of the compressor is generally not considered less than 30Hz. Can replace R22 in this range, the two most appropriate among the working fluid, there are many, such as R407C (R32/R125/R134a 23/25/52% group) and R507 (group R125/R143A 50/50%) good. Compressor speed fuzzy control compared to traditional temperature control for refrigeration and cooling systems. Experimental results show that when the R407C as the working fluid, can achieve significant energy savings (13%). It is noteworthy that, from energy point of view the best results can be achieved when the change of the compressor speed. In addition, taking into account the converter costs, payback period than the acceptable models more decisive.Keywords: compression system, cold chamber, piston compressors, variable speed, articles of association, Fuzzy Logic, R407C, R5071. Introduction Vapor compression cooling means, though designed to meet the maximum load, but in order to prolong life, usually working under part load, and through the switching cycle regulation, operate at a frequency of 50 Hz, and thus determines the thermostatic control of the energy consumption. Moreover, the refrigerant when low power consumption is considered indirect release of greenhouse gases; improved the energy conversion efficiency of the above-described system can reduce such emissions. A variety of refrigeration capacity control method and partial load theory that the compressor speed variation is the most efficient technology. The refrigerating capacity control method has been analyzed in the past 3-10 years, including improving the speed of the compressor to constantly achieve the cooling effect. The converter can be used for regulation of the compressor speed. Different types of electronic variable speed drive, but the pulse width modulation inverter (PWM) because of its low cost and high efficiency is most applicable. Refrigeration capacity of such controls used in commercial compressor, though on the energy-saving advantages, but there are certain drawbacks such as the cost of the equipment and compressor lubrication and reliability trouble. The last question is, When the thermal converter of the secondary fluid in the gas phase, for example, in the review plant is harmful. However, when the secondary fluid in the liquid phase when it seems to be advantageous. Therefore, the main purpose of this paper is to set the controller to continuously regulate pump compressor and other small refrigeration equipment. Such control allows us to adjust the refrigerating capacity of the compressor at any time to obtain a cooling load, and therefore the compressor operation at other frequencies may also be less than 50 Hz. When traditional temperature control for refrigeration or other small refrigeration system, the compressor can only work to do in the 50 Hz. In particular, in contrast to the commonly used vapor compression cooling apparatus mentioned herein can be selected according to the fuzzy logic control algorithm in the refrigerated temperatures the most appropriate speed of the compressor. In addition to the fuzzy logic, the compressor speed control may be by other technologies such as traditional proportion indispensable and PID control. In particular, the fuzzy logic control, compare PID permit better use of experimental knowledge and take control logic of a non-mathematical model according to the device working conditions. Moreover, a fuzzy controller PID control is sometimes necessary to have comparable or better work in the specified operating point. In addition to the mentioned a fuzzy controller to adjust the time when there is a sudden change in the cooling load on the fast beating small significant dynamical characteristics; This often leads to a robust control. Therefore, the experimental test guidance compared factory compressor cooling capacity control system, fuzzy algorithm and determine the compressor on - off cycle traditional oven operates at a frequency of 50 Hz. Of the working fluid to be tested, R407C (mainly R32/R125/R134a 23/25/52%) and R507 (R125 / is of R143a 50/50%), R22 is most alternative.2 pilot plant Vapor compression test device, as shown in Figure 1 shows a general-purpose commercial equipment is composed by the following parts, a liquid receiver, an air condenser, transistors and two expansion valves, a thermostat is a manual rely on the support freezer inside a vapor compression work. Wanted a maker of said compressor work for availability the fluid R22, R507 and R407; polyester oil lubrication, and its speed regulated by PWM converter. And a group of three-phase voltage rectifier, DC 380 V, 50 Hz and a straight - to deposit a three-phase AC voltage converter; inverters adjustable voltage frequency. With two valves of the three tubes may trouble can be solved, because when the variation of the speed of the compressor, expansion valve their work is unknown. The use of the expansion valve is specially designed for R407C and R507. R407 and operating in 50 Hz, when the temperature at -20 to 10 C when the capacity of the condenser changes within 1.4-1.8kW range. A fixed temperature in the condenser and the imitation of external conditions, in a decision heat the channel and its wind. The regulator temperature control resistor can be determined. In some experimental tests to simulate the regulator electric heating refrigeration load, voltage and power measurements. Table 1 lists the specifications of the conversion apparatus. The test harness is equipped with 32-bit A / D card connected to the personal computer, it has a high sampling rate and by the conversion device simulation results. Data collection software in LabVIEW environment has been achieved, and through a balance of energy and radiation software evaluation of the thermodynamic properties of R407C and R507.3 experimental description To assess the performance of the product when used, it is necessary to compare at 50 Hz by switching cycle regulation and controlled by the fuzzy algorithm energy consumption. In experimental tests, the loading of different types of cooling have been considered. First of all, when the door of refrigeration periodically switch and inevitable and outdoor air heat exchange experiment has been achieved. These experiments have been tested in a wide range of temperature to complete the open refrigerator doors 5 minutes every 20 minutes and when the outside temperature is 18.8C, the cold storage temperature thus obtained is good in 5.0 to 25.8C. In addition, in some of the tests in the cooling load can be obtained by the electric heater located in the refrigerator compartment can be controlled, while in other tests the real cooling load is considered to be 200 kg Fruits and Vegetables 5.8C can save. In the first two case every 10 minutes to open the refrigerated door to mimic the real work environment; Moreover, the experiments carried out in the winter and summer test. In summer tests in heating electric heating but the outside of the condenser is maintained at a temperature of 32.8C, and in winter, the outdoor air temperature is maintained at 10 8C. Experimental results mainly reflect the power consumption, good power energy meters to measure the energy-saving effect assessment be. The last two days of the test has been achieved R407C and R507. The compressor speed control fuzzy logic Fuzzy logic on behalf allows us to get information from vague, ambiguous or uncertain answer methodology is defined. The conclusions can be found to be defined starting from the proximity of the information and data for the fuzzy process is very similar to that of the human brain. In contrast to the classical logic method depict the phenomenon of mathematical model equations that require a precise definition, fuzzy logic allows us to solve the problem of clearly defined, and for which it is difficult, if not impossible, to determine an exact mathematical model. Therefore, the experience and knowledge of such shape is necessary. In particular, fuzzy logic is nonlinear control answer to your question, a legitimate choice. In fact non-linear adopt rules relating to the membership role and reasoning process is treated to ensure easier implementation and small design fee. In the control performance, the disadvantages of the other side of the linear approximation of a nonlinear model is simple enough, but it has limitations and may occur in some cases expensive. Moreover, the fuzzy controller is robust and allows us to experience through the use of other rules or membership role in a very simple way to improve or change. Many examples of fuzzy control can be found in some recent applications. In particular, in the heating ventilation and air conditioning industry there is a wide variety of application of fuzzy control of temperature and moisture. A fuzzy controller design requires three fundamental stages. The first is to establish the input and output variables. The second is to define the input and output variables membership role. The last of which is the selection or formulaic control rules. The main objective of this paper is to determine a fuzzy controller is able to regulate the electric compressor motor trend of the supply frequency. Block diagram in Figure 2 commercial avalaible refrigerated temperature fuzzy control process reports. In particular, the figure shows a two-input fuzzy controller. Input variables in the adjustment point temperature and air temperature between the temperature difference in cold storage ( T), AND the temperature difference between derivatives and time (d ( T) / dt). Fuzzy output variable is the frequency of the compressor motor (f) the supply trend; fuzzy logic in accordance with the determination of the possible value representing variables of the fuzzy set. Traditional fuzzy logic theory theory, elements may belong or not a particular collection, part of the membership allows the elements of the collection. Each value of the variables is characterized by change and continuity from zero to a value of membership. Therefore, it is defined to establish the membership of variable rate is possible in which each of a collection of volatile membership role. From an effective point of view, the fuzzy controller to accept the value of the input variable, for some operations and to determine the value of the product. This process is characterized by three main phases; fuzzy control inference mechanisms and fuzzy operation. Permitted to transform the value is defined as the value of fuzzy fuzzy arithmetic process; inference process to determine the fuzzy rules to be fixed according to the experimental reality; allowed to transform vague about the process of fuzzy control into a defined value. The fuzzy logic of the major difficulties with specific experience necessary building design and a fuzzy controller connection. Accordingly, as the regulation of the parameters of some experimental think we set the the exchange compressor speed control variable. The exact rules and special qualifications choice of appropriate change controller. However, it will be considered from the energy saving point of view it is convenient to control the speed of the compressor, because it works to a lower frequency, but in this case when the required temperature of the adjustment point will be the main and the time necessary to compare, when the compression machine running a 50 Hz nominal frequency. Therefore, it may sometimes happen that, even when the compressor operation frequency lower than the nominal energy saving may be partially obtained, indeed because the compressor to operate at lower frequencies, but in many moments. Accordingly, in order to regulate the working time of the compressor in order to lower the frequency is important, when the membership of the role will be defined by the input and output variables of the fuzzy algorithm, select the subset of digits, and its width must be appropriate, and Boot from the experimental knowledge. Similar considerations about the choice of rules is needed. End, the proposed algorithm membership roles and rules of experimentally verified. Table 2 shows a fixed set of rules to be used in the algorithm, and five fuzzy sub-set depicts the input and output linguistic variables marked with the following pins; very low (VL), low (L), medium-size (MS), high (h) and very high (VH). The tone Membership role ratio adjustment control rules, focused its attention on here before, compressor speed control is easy to experience a robust fuzzy controller. To understand the control of the compressor for the selected characteristics of some experimental considerations, in Figure 3-5 membership role in the setpoint temperature and the air temperature in the refrigerator, this temperature difference between the derivative with time and the compressor motor supply frequency of the trend between the temperature difference is defined. Triangular membership role of a center and two limit is taken terrible here. Located on the temperature difference between the reported range between 0 and 13 C (Figure 3). In order to increase the sensitivity of the fuzzy controller as refrigerated temperature method to adjust the point, membership in the role of reluctant to adjust on the VL, L and MS temperature difference. On the period and the temperature difference between the derivatives (Figure 4).The range includes 0.001 and 0.013 K / s between reported. The sudden loading when cooled, the change is considered as an input variable and also taking into account the main rapid variation derivative; when refrigerated door is open, which occurs. To increase the sensitivity of the controller derivative changes in the rate and the temperature difference period, a fuzzy subset may have a smaller definition, may range from 0.004 to 0.008. However, satisfactory results can be obtained with the previous definition of the fuzzy subset. Membership in the the considered compressor motor power frequency value of the output fuzzy subset (Fig. 5), in the range of 30-50 Hz. Consider a value of less than 30 Hz, because the compressor vibration and noise increase considerably with lubrication trouble the splash system incremental impossible.The inference mechanism is to use the method of the product, with minimal operating replacement product. The effect of these variables on each other more effectively, to get a better logical reasoning This mechanism allows the input and output variables. Experts take control method based on the determination of a complex collection of many centers; such a vague products turned into a well-defined on signal. Control algorithm, based on fuzzy logic, in a certain environment is established. In particular, this algorithm provides as output variables can be continuously by the inverter voltage signal used to control the compressor speed.制冷压缩机速度的模糊控制摘 要在这篇文章里,所提到的是在通常应用于商业上的蒸汽压缩制冷装之中,用模糊控制算法控制制冷压缩机的速度使之达到最有效的速度来控制冷气的温度。它主要的目标是根据模糊控制算法,通过变换器对压缩机速度进行连续调控,并估算节能效果;不同于传统恒温控制,这里通过控制压缩机冷藏容量,施加给控制压缩机50Hz的开关运转频率。通过控制压缩机的电动机的供电电流达到的速度变化范围是30-50Hz,由于转动频率过低会有因飞溅系统而出现的润滑问题,现今所提供的压缩机转动频率一般不考虑小于30Hz的。在这个范围,在二个最适当的工作流体之中,可以代替R22有很多,例如R407C (R32/R125/R134a 23/25/52%组)和R507 (R125/R143A 50/50%组)比较好。压缩机速度模糊控制与传统的温度控制相比,更多的用于冷藏和其他制冷系统。实验结果表明,当R407C作为工作流体时,可以达到显著的节能效果(13%)。值得注意的是,从节能观点看,当压缩机速度变化时可以达到的最佳的效果。另外,考虑到变换器费用问题,回收期要比可接受的产品型号更具有决定性。关键词: 压缩系统, 冷室, 活塞式压缩机, 易变的速度, 章程, 模糊逻辑, R407C,R5071引言蒸气压缩冷却装置,虽则被设计满足最大载荷,但为了延长寿命,通常在部分装载下工作,并通过开关周期调控,在50 Hz的频率下运作,这样就决定了高能消耗量的恒温控制。而且,制冷时耗电量低被认为间接的释放了温室气体;改进上述的系统的能量转换效率可以减少这种排放物。各种各样的冷藏容量控制方法和部分装载理论表明压缩机速度变异是最高效率的技术。冷藏容量控制这个方法在最近310年已经被分析研究,包括提高压缩机的速度以不断的达到制冷效果。变换器可以被用于调控压缩机速度。有电子易变速度驱动的不同的类型,但是脉冲宽度调整变换器(PWM)由于它的低成本和高效率而最适用。 冷藏容量的此种控制应用于商业压缩机,虽则在节能上有优势,但也有某缺点例如设备的费用和由压缩机润滑和可靠性带来的麻烦。最后问题是,当热转换器的次要流体在气相时,例如在被审查的工厂中时,是有害的。但是当次要流体在液体阶段时它似乎是有利的。因此,本文的主要目的是设定控制器能够连续调控没有油泵的缩机和其他小型制冷设备。这种控制允许我们在任何时候调整压缩机冷藏容量以得到冷却载荷,因此压缩机可能也运转在其他频率小于50 Hz。当传统的温度控制用于冷藏或其他小型制冷系统时,压缩机只能工做在50 Hz。特别是,对比于常用的蒸气压缩冷却装置,本文提到了根据模糊逻辑的控制算法,能选择在冷藏气温的作用的最适当速度的压缩机 。 除模糊逻辑之外,压缩机速度控制也许可以通过其他技术也获得例如传统比例缺一不可和PID控制。特别是,模糊逻辑控制,比较PID,准许根据设备工作状况更好的使用实验性知识和采取一个非数学的模型的控制逻辑。而且,关于PID控制的一个模糊控制器有时需要有可比性,或者在指定的工作点工作的更好。除提到一个模糊控制器以外当冷却装载上有突然变化时调整时间快跳动小是其显著的动力特征; 所有这通常导致一个鲁棒控制。因此,实验性测试指导比较了工厂使用压缩机冷却容量控制系统的能力,模糊算法和确定压缩机开-关周期的传统温箱都工作在50 Hz的频率。 被测试的工作流体,R407C (主要是R32/R125/R134a 23/25/52%)和R507 (R125/主要是R143A 50/50%),是R22中最有替代性的。2.实验工厂 蒸气压缩实验设备,如图1所示的商业上通用的设备,是由以下部分组成, 一台液体接收器,一台空气冷凝器,三极管与二个扩展阀门,一个是恒温的一个是手工的,靠这些支撑冷藏室里面的一台蒸汽压缩器工作。就想厂商所说的,压缩机可用流体R22、R507和R407工作;它用聚酯油润滑,并且它的速度通过PWM变换器调控。并有一组三相电压的整流器,即直流380 V,50 Hz和一个直-交三相交流电压变换器;产品的变换器可调整电压的频率。与两个阀门的三级管可以解决可能的麻烦,因为当压缩机速度变化时,扩展阀们的工作是未知的。使用的扩展阀门是为R407C和R507特别设计的。 使用R407 并工作在50 Hz时,当温度在-20到10C时冷凝器的容量在1.4-1.8kw范围内变化较大。为固定在冷凝器气温和模仿外部条件,在一个决热的通道向其风。使用调节器控制电阻可得到确定的温度。在一些实验性测试中,可通过与调节器有关的电暖气来模拟冷藏负载,并且通过电力计测量电压。表1列出了使用的变换装置的规格。测试用具装有与个人计算机连接的32张位A/D卡片,它有高采样率并通过变换装置模拟结果。数据收集软件在Labview环境里已经实现,并且能通过一个可以平衡能量和放射的软件评估R407C和R507的热力性质。3.实验描述 要评估使用时产品的性能,有必要比较一下在50 Hz时由开关周期调控和由由模糊算法控制时的耗能量。在实验性测试,冷却的装载的不同的类型已经考虑了。首先,当对冷藏门有周期性开关和与室外空气不可避免的热交换时的实验已经实现了。这些实验已经在各种各样的温度下测试完成了,而且当外界温度为18.8C时每隔20分钟就打开冷藏库门5分钟,这样得到的冷库温度正好在5.0到25.8C。另外在有些测试中冷却负载可通过位于冷藏室的可控制电子加热器获得,而在其他测试真正的冷却负载被认为是可以保存200 kg水果和蔬菜5.8C。在这前二个情况下,每10分钟打开冷藏门来模仿真正的工作环境;而且,实验在冬天和夏季都进行
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