Complex thin-walled workpiece is a kind of key parts in aero-engine. And how to restrain the deformation and vibration of machining process due to its characteristics of weak stiffness, difficult material processing and strong time-varying turns to be a bottleneck to be solved. The reasonable layout of fixture and the promotion of clamping stability can effectively suppress the machining vibration. At present, the intellectualization of fixture system has become the main bottleneck of the popularization of intelligent machining technology. The development of fixture design which can adapt to complex working conditions of thin-wall parts has become a popular research. In this paper, the dynamic modeling of fixture and work-piece, the optimization of fixture layout, the optimization of clamping force and the design of adaptive fixture at present are reviewed. It will be helpful to the design and engineering application of adaptive fixture in the future.

    Intelligent manufacturing not only leads the development of manufacturing fields but also is an engine that propels the next industry revolution. The machining of aircraft structural component belongs to typical small batch and large flexible discrete manufacturing. In order to realize the intelligent manufacturing oriented aircraft structural component machining, many complicated problems still need to be solved. In this paper, the background, features and connotation of intelligent manufacturing are briefly introduced. Then, the difficulties that will be faced in the realization process of intelligent manufacturing oriented aircraft structural component machining are analyzed. The construction method of intelligent manufacturing oriented digital plant for aircraft structural component is proposed correspondingly, which can lay a foundation for building the future intelligent manufacturing paradigm of aircraft structural component.

    In general, only time is optimized when using the traditional multi-Agent way (TMAW) to solve the jobshop scheduling problem based on contract net protocol, which ignores the requirement of multi-objective optimization for scheduling system. In essence, task optimum allocation between Agents is single-step optimization. Thus very limited boost is made to the performance of the scheduling system. To solve the problems, the multi-Agent scheduling model is replanned
and an interval-synergy-auction scheduling strategy (ISASS) is proposed in this paper. Time, cost, machine load and energy consumption are optimized globally in a certain time window in this strategy. And different optimal trends can be got by changing weighting factors. Finally, a simulation test validates the effectiveness. Influence on the scheduling performance under different time windows and different weighing factors is also studied so as to guide the actual productive practices.

    Aiming at the integration problem of cutting and distributing shelves in traditional manufacturing enterprises, by analyzing the production site constraints such as the number of manufacturing racks and production processes, a heuristic method is proposed to solve the cutting stock problem, and the distributing shelves algorithm is transferred to make the sub-material fail down. The heuristic strategy is used to optimize the cutting sequence of the cutting scheme and the sequential optimization of the single-piece material falling frame, which solves the problem of integration of the material and the rack in the manufacturing workshop. The practicality and effectiveness of the method are verified by examples, which meet the actual production constraints and production requirements, and realize the intelligent production of the enterprise.

    The prediction of tool life is of great significance to ensure the quality of parts and control the cost of machining. However, the tool wear process is complex and changeable, and it is difficult to accurately predict the residual life of the cutting tools affected by machining conditions. To solve the above problems, this paper presents a dynamic prediction method of tool life based on online learning. Using long-short term memory as base model and integrating the online learning module, the final model can automatically update the parameters during the machining process, and the accurate prediction of tool life under variable working conditions can be realized. The milling experiment was carried out, and the experimental results show that the dynamic prediction method of tool life can effectively improve the precision of tool life prediction.

    The production of aircraft conduit is characterized by multi-varieties, small-batch, lots of manual operations, fast circulation, high productivity and large quantity of WIP, so its logistics control becomes more difficult. This paper proposes a production logistics control method based on the concept of station end, which is built from bottom layer (station end) to upper layer (workshop production control), that is, all kinds of workshop resources are divided into several different stations according to process functions. Each station is a logistics control point equipped with station end software, station end terminal, and material identification device, AGVs are used to transport conduits among stations. All stations are connected together with upper layer by workshop network. So the production logistics instructions from upper layer can be fast transferred to each station and executed quickly, at the same time the logistics information of conduits can be accurately collected from bottom layer and sent to upper layer, so the logistics control system of production workshop is set up efficiently. We develop the logistics control system for a practical aircraft conduit production line, and the effectiveness of the proposed system is validated.

    Based on the former design and manufacturing collaboration solution, an optimized solution has been prompted, focusing on reconstruction of the concurrent collaborative development process, to impel design and manufacturing to operate simultaneously. Furthermore, some implementation ways of the optimized solution have been discussed. According to the analysis, the total time of design and manufacturing can be futherly cut down about two or three months by applying the optimized solution, in comparison with the former one. Besides, design and manufacturing can be integrated tightly, so that design quality and manufacture conformance can be improved, and development cost can be expected to decrease.

    In order to establish the Johnson-Cook constitutive model of 7B04 aluminium alloy, a series of quasi-static compression tests and orthogonal cutting tests were conducted to fit the model parameters. Based on the tests data, it was presented a strain softening term and a equation of strain rate parameter. At last, the constitutive model was proved to be reasonable and accurate via test verification.

    In view of the complexity and diversity of Invar alloy mould plate shape, the low efficiency and low quality of traditional processing methods, on the basis of actual production and referring to the experience of ship hull plates forming process, the adaptability of the rotary square punch and non-pair stamping technology on Invar mould plate forming was studied. The material characteristics, shape characteristics and forming process of Invar alloy are analyzed, and it is indicated that the rotary square stamping punch combined with the large tonnage oil press can effectively form the Invar alloy mold plate, and the forming error is less than the production demand.

    The fuel nozzle manufactured by additive manufacturing has significant advantages in shrinking production cycle, lowing cost and boosting qualified rate. However, polishing technology of additive manufacturing fuel nozzle through abrasive flow has become the vital technology that needs to be worked out promptly for additive manufacturing. This research develops a four-factor polishing experiment of abrasive flow for test pieces acquired the characteristics of internal flow path of additive manufacturing fuel nozzle. The result shows that powder adhered to surface, spheroidization effect and step-effect can be eliminated effectively and efficiently by abrasive flow polishing. The optimal process parameters of abrasive flow polishing were obtained by optimization calculation and the surface roughness R_a of the flow channel in the nozzle was reduced from 9.10μm to 2.70μm through the experiment.

    The soldering test of gold alloy sheet and silver plated copper wire in conductive ring by using eutectic SnPb solder and self-made InPbAg solder was carried out. The microstructure, compound composition, micro-hardness and mechanical property of the two kinds of soldering joints were compared and analyzed, and the influence of the self-made InPbAg solder on the brittleness of t he joints was discussed. The results show that the SnPb solder / gold alloy interface produces a layered IMC layer, and the composition is brittle intermetallic compounds of AuSn₂, AuSn₄, Ag₃Sn; IMC layer of InPbAg solder / gold alloy interface is very thin with the composition of AuIn₂, Ag₂In phase, and their hardness are all lower than that of SnPb joint, which indicates that the brittleness of InPbAg intermetallic compound is relatively low. The mechanical property analysis shows that the mechanical properties of InPbAg joints are relatively stable, SnPb joints are brittle fracture, and InPbAg joints are plastic fracture.

    Since 1970s, the United States has carried out the CO₂ laser and chemical laser airborne demonstration experiments and completed 3 rounds of airborne lasers prototype development in total. The shooting test was also completed. Since the solid-state laser breakthrough 100 kilowatts output for the first time in 2009, more and more efforts have been carried out. At present, the development of electrically driven solid-state lasers is being carried out to achieve airborne applications in the near future. Airborne laser weapons are being transformed from test demonstrations to weaponry. This paper reviews the development process of airborne laser weapons in the US, and analyzes the current development and trends of airborne laser weapons according to the existing research and development plans.

    This paper has studied a kind of flexible production line scheduling problem with the objectives of minimizing the tardiness and increasing the use ratio of devices. The executed sequence of operation tasks was determined by their priority which was computed by dispatching rule with multiple constraints. The dispatching rules were optimized by means of Genetic programming algorithm, then complete the whole scheduling scenario by using the optimal dispatching rule. The result of simulation experiment shows that using GP algorithm to solve the production line scheduling problem is effective.