Advanced Materials Research Vol. 628

Abstract: This research work elaborates the investigation of lateral flight control system as point of unmanned aerial vehicle control.To evaluate our work, we have used rigid flying object model that is 10 meters in lengthand studythe effects of number of forces were consideredsuch as inertia, fin force and wind to design the heading controller,Fuzzy logic controller more specifically Proportional Integral Derivative (PID) controller is used,wherepros and cons of fuzzy logic controller is considered. To justify our proposed work, simulation is been implemented to model controller designs and dynamics of the airship.Furthermore comparative study have been done between the outcome of the system to be design and the latest research literature. Experimentalresultsillustrate that our method is efficient, is more reliable and effective.

Abstract: One of the newest methods of identification system is finger vein recognition which is a unique and successful way to identify human based on the physical characteristics of finger vein patterns. In this paper, a new type of classifier called Local Mean based K-nearest centroid neighbor (LMKNCN) is applied to classify finger vein patterns. Finally, the significance of the proposed method is proven by comparing the results of LMKNCN classifier with traditionally used K nearest neighbor classifier (KNN). The experimental results indicate that the proposed method in this research confidently merits the performance of the finger vein recognition method, as the gained accuracy using the proposed method is higher than that of the traditionally used method KNN. The maximum obtained accuracy of LMKNCN test with 2040 number of finger vein images is 100% while for KNN is 98.53%.

Abstract: Automated acquisition of sensing data is an active research area in manufacturing domain. A great deal of research work has been focused on automated data acquisitionapplied to various subjects related to manufacturing operations such as safety, performance improvement, monitoring and layout planning. Laser scanners including Time of Flight cameras play a significant role in real time or near real time decision makings in manufacturing automation. To establish an automated sensing system in a work place, enough test data should be available regarding the performance characteristics. This paper investigates the performance of Microsoft XBOX Kinect on spatial modeling in large jobsites, and employs fuzzy logic to find optimal placement of Kinect sensors that gives the best resolution.

Abstract: This paper researches the particle filters Algorithms for target tracking based on Information Fusion, it combines the traditional Kalman filter with the particle filter. For multi-sensor and multi-target tracking system with complex application background, which is nonlinear and non-gaussian system, the paper proposes an effective particle filtering algorithm based on information fusion for distributed sensor, this algorithm contributes to the solution of particle degradation problems and the phenomenon of particle lack, and achieve high precision for target tracking.

Abstract: This article describes how a future engineering of production systems could look like and what the benefits would be. The presented concept is requirement-based and uses a role-concept and aggregation to deal with the increasing complexity of mechatronic systems. The aim is to counteract the increasing complexity of the systems. For this purpose, strategies must be identified and implemented to achieve this. Finally, an approach for implementing this concept is described.

Abstract: Mixed-model assembly line (MMAL) sequencing is a typical problem that various models of a common base product are assembled on the same line. In this paper, we proposed products assembly sequencing in mixed-model assembly lines as a multiple-objective optimization problem with the objectives to minimize material consumption waviness, the total setup cost, and total task overlapped time. These three objectives are typically inversely correlated with each other, and simultaneously optimization of the three objectives is challenging. The multi-objective optimization algorithm based on non-dominated sorting particle swarm optimization (NSPSO) is designed. We conduct an extensive experiment study in which the performance of the proposed NSPSO is compared against non-dominated genetic algorithm (NSGA II). The computational results show that the proposed NSPSO outperforms NSGA II, significantly in large-sized problems.

Abstract: The characteristics of the sheet metal process include the loss of material during the process, short processing time and excellent price and strength. The sheet metal process with the above characteristics is commonly used in the industrial field, but in order to analyze irregular field problems, a reliable and economical analysis method are needed. The finite element method is a very effective method to simulate the forming processes with a good prediction of the deformation behaviour. Among the finite element method, the static-implicit finite element method is applied effectively in order to analyze the real-size auto-body panel stamping processes, which include the forming stage.

Abstract: In current multi-axis CNC manufacture technology, the sculptured surface has to be approximated to simplify its complexity, therefore, the current machining methods can not fully exploit the flexibility of the multi-axis CNC tools and offer the prospect of higher machining efficiency and better machining quality. A new theory (Envelope-Approximation Theory) was presented to generate the sculptured surface by maximizing the machined strip width based on the moving frame. The differential geometry based on the idea of the moving frame was discussed to determine the related motion of the tool and the workpiece. The optimized model of the related motion of the tool was established to enable the envelope of the tool surface approximate to the predesigned surface aiming at the least warping. Simulated examples based on Matlab7.0 demonstrate the improved machining efficiency and precision of the Envelope-Approximation Theory over current published methods.

Abstract: Different methods of cutting fluid application are used on turning of a difficult-to-machine steel (SAE EV-8). A semi-synthetic cutting fluid was applied using a conventional method, minimum quantity of cutting fluid (MQCF), and pulverization. By the minimum quantity method was also applied a lubricant of vegetable oil (MQL). Thereafter, a cutting fluid jet under high pressure (3.0 MPa) was singly applied in the following regions: chip-tool interface; top surface of the chip; and tool-workpiece contact. Two other methods were used: an interflow between conventional application and chip-tool interface jet and, finally, three jets simultaneously applied. In order to carry out these tests, it was necessary to set up a high pressure system using a piston pump for generating a cutting fluid jet, a Venturi for fluid application (MQCF and MQL), and a nozzle for cutting fluid pulverization. The output variables analyzed included tool life, surface roughness, cutting tool temperature, cutting force, chip form, chip compression rate and machined specimen microstructure. It can be observed that the tool life increases and the cutting force decreases with the application of cutting fluid jet, mainly when it is directed to the chip-tool interface. Excluding the methods involving jet fluid, the conventional method seems to be more efficient than other methods of low pressure.

Abstract: The paper deals with manufacturing technology for the forged rolls and sleeves from adamite steel at Electrostal Plant of Heavy Machinery (JSC «EZTM»). The influence of different heat treatments on microstructure and mechanical properties of the level of adamite steel is presented.