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爱步loveayu

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管道支吊架 Pipe Supports and Hangers6.1 管架零部件 Attachment of Support管托 shoe管卡 clampU形夹(卡) clevis锻制U形夹 forged steel clevis支耳;吊耳 lug; ear耳轴 trunnion止动挡块 shear lug托座 stool托架 cradle带状卡 strap clamp夹板,导向板 cleat可调夹板 adjustable cleat角板;连接板 gusset筋;肋 rib支承环 ring加强板 stiffiener底板 base plate顶板 top plate翅片式导向板 fin预埋件 embedded part; inserted plate垫板(安装垫平用) shim锚固件;生根件 clip预焊件(设备上) clip (on equipment)聚四氟乙烯滑动板 PTFE sliding plate连接板 tie plate连接杆 tie rod限制杆 limit rod带环头拉杆 eye rod连接杆 connecting rod杠杆 lever支撑杆 strut定位块 preset pieces间隔管(片、块) spacer滑动吊板(吊架顶部用) sliding traveler(for hanger)滑轮组 tackle-block钢索,电缆 cable木块 wood block鞍座 saddle裙座 skirt软管卷盘(简) hose reel管部附着件 pipe attachment6.2 管支架型式 Type of Pipe Support支承架 resting support滑动架 sliding support固定架 anchor导向架 guide限制性支架;约束 restraint限位架 stop限位器 stopper定值限位架 limit stop二维限位架 two-axis stop往复定值限位架 double-acting limit stop定向限位架 directional stop吊架 hanger弹簧架 spring support弹簧托架 resting type spring support弹簧吊架 spring hanger恒力吊架 constant hanger重锤式吊架 counter weight hanger弹簧恒力吊架 spring constant hanger弹簧恒力托架 resting type spring constant support滚动支架 rolling support弹簧支撑架 spring bracing减振器 snubber液压减振器 hydraulic snubber减振装置 damping device缓冲简(器) dash pot刚性吊架 rigid hanger6.3 标准及通用型支架标准管架 standard pipe support通用管架 typical pipe support悬臂架 cantilever support三角架 triangular support’支腿 legⅡ形管架 Ⅱ-type supportL形管架 L-type support柱式管架 pole type support墙架 support on wall可调支架 adjustable support管墩,低管架 sleeper特殊管架 special support管道支吊架图 piping support drawing6.4 管架安装背至背 back to back钻孔 drill长孔 slot; slot hole放气孔;通气孔 vent hole灌浆;水泥砂浆填平 grouting组装;装配 assembly攻螺孔 tapped.tapping自由滑动 free to slide跨度 span对中心;找正 alignment切割使适合 cut to suit修饰使适合 trim to suit伸出长度(指预埋螺栓) extrusion液压试验中,对试验液体要求是:试验液体一般采用水,需要时也可采用不会导致发生危险的其它液体。试验时液体的温度应低于其闪点或沸点。奥氏体不锈钢制容器用水进行液压试验后应将水渍去除干净。当无法达到这一要求时,应控制水的氯离子含量不超过25mmg/L.试验温度:1. 碳素钢、16MnR和正火15MnVR钢制压力容器液压试验时,液体温度不得低于5℃,其它低合金钢制容器液压试验时液体温度不得低于15℃。如果由于板厚等原因造成材料延性转变温度升高,则需相应提高试验液体温度。2. 其它钢种制容器液压试验温度按图样规定。

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mercury211

In view of the pivotal role of rolling bearing in rotating machinery and equipment, it is very important to diagnose the fault, and it is the best way and means to establish a set of efficient and convenient bearing fault diagnosis system. Most of the traditional diagnostic system depends on a number of professional hardware equipment, these instruments are obviously difficult to meet the requirements of information technology, and caused a lot of hardware redundancy. With the rapid development of computer technology, the virtual instrument technology has been applied to the field of bearing fault diagnosis has become a trend. This paper introduces the characteristics and structure of virtual instrument technology. On this basis, the resonance demodulation technique is introduced into the signal analysis of virtual instrument to extract and analyze the bearing fault signal. Finally, based on LABVIEW platform, a set of virtual instrument for bearing fault signal analysis is developed.

322 评论

D20600531014

IntroductionMachining aims to generate the shape of work-piece form a solid body,or to improve the tolerances and surface finish of a previously formed work-piece,by removing excess materials in the form of chips. Machining is capable of creating geometric configurations,tolerances, and surface finishes often unobtainable by any other technique.However, machining removes materials, which has already been paid for, in the form of relatively small particles that are more difficult to recycle and are in greater danger of becoming mixed. Therefore,developments often aim at reducing or-if at all possible-eliminating machining, especially in mass production.For these reasons, machining has lost some important markets, yet, at the same time, it has also been developing and especially having captured new markets with the application of numerical control.Some feel for the important of machining may be gained from the observation that in 1983 there were about 2 million metal-cutting machine tools in the unite states ( of which some 5% were numerically controlled ) and that labor and overhead costs amounted to $125 billion, or 3% of the GNP.

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