【正文】 raw material cutting. The optimizing system for raw material cutting is eveloped. software is mainly used to optimize the cutting of bars and boards. So far, the software has been bought and used by more than 500 enterprises in China. Energy Flow Energy flow analysis model many existing investigations are focused on the Cutting energy in machining Systems 71 .However, from the viewpoint of green manufacturing, the energy consumption in machining systems should be considered systematically. Fig. 5 shows the energy flow in the basic machining system machine tool system. The cutting energy is only a part of the total energy consumed in the machining system as Shown In .2 Practices on the minimization of energy consumption – matching system for energysaving in machining systems with multi machine tool. According to three main methods can be adopted to save energy: 1) By reducing the Cutting Energy Power .by optimizing the part design and process parameters. 2) By reducing the Power Loss By improving the efficiency of machining systems. 3) By reducing the power losses caused by the unloaded power of machining systems. With a series of the oretical analysis and experimentations, a new energysaving method is discovered. In a machining system with multimachine tools and multiwork pieces, it is an effective way to reduce the energy consumption in the machining system by matching the machine tools and work pieces in the optimum way. The reason is that the trait of unloaded power of each machine tool is not the same. Therefore, the energy consumption for machining the part on different machine tools is different even though the process parameters of the part are kept the same. The following is a simple exampleE83. There are two horizontal lathes, N 1 and 2， and two batches of work pieces need to be turned. According to the process requirements, the spindle speed should be 600r/min when turning work piece A, and 185r/min when turning work piece B. There are two feasible matching schemes as shown in Fig. 6. Since the cutting power P, and additional power P, are approximately equal when a work piece is turned on different lathes, the unloaded energy consumption can be pared. According to the test data of unloaded energy consumption, scheme I consumes 0. 79 kW 7 0:2 31一 238. [3] SrinivasanM , ShengP. Feature based process planning for environmentally Conscious machining一 Part2: macroplanning[J].Robotics and Computer Integrated Manufacturing,1999,15:271一 281. [4] HurT,KimI, YamamotoR. Measurement of green productivity and its improvement[ J].Journal of Cleaner Production,2021,1 2:673一 683. [5] LIUFei, CAO Huayun, ZHANGHua. Green Manufacturing Theory and Technologies [M].Beijing: Science Press, 2021 [6] YAN Chunping, LIU Fei, LIU Ying, etal. Multisoftware collaboration cuttingstock method based on ASP and its implementing technologies[ J]. China Mechanical Engineering,2 002,1 3(24):2144一 2147. [7] KishawyHA, KannanS , BalazinskiM . An energy based analytical force model force model for orthogonal cutting of metal matrix posites [J]. CippannalsManufacturing Technology,2 004,53:91一 94. 。h. It is obviously concluded that if scheme B is adopted, 0. 14 kw( i=1， 2， ?)， and it mainly includes three subproblems: minimizing materials consumption, minimizing energy consumption and auxiliary material consumption. 2) The minimization of environment al discharges, 3) The synthesized minimization of both resource consumption and