The objective of this paper is to conduct reliability-based structural optimization in a multidisciplinary environment. An efficient reliability analysis is developed by expanding the limit functions in terms of intermediate design variables. The design constraints are approximated using multivariate splines in searching for the optimum. The reduction in computational cost realized in safety index calculation and optimization are demonstrated through several structural problems. This paper presents safety index computation, analytical sensitivity analysis of reliability constraints and optimization using truss, frame and plate examples. 相似文献
A novel processing technology was developed to investigate in situ synthesis of TiC-Al (Ti) nanocomposite powders by thermal plasma technology. Thermodynamic analysis was performed to predict
possible starting materials and synthesizing conditions of TiC-Al (Ti) nanocomposite powders. A mathematical model was developed
to describe temperature profile and velocity distribution in the reactor. The model is applied to optimize feeding rate, input
power, and other processing parameters of TiC-Al (Ti) nanocomposite powders by thermal plasma technology, and to predict which
materials can be used as starting materials. This paper emphasizes the investigation of the effect of feeding rate, input
power, mole ratio, and other process parameters on synthesis of TiC-Al (Ti) nanocomposite powders by thermal plasma technology.
The experimental results showed that TiC-Al (Ti) nanocomposite powders can be synthesized in situ by thermal plasma technology, and the average size of TiC-Al (Ti) nanocomposite powders was less than 100 nm. 相似文献
Distortion as a result of the quenching process is predominantly due to the thermal gradient and phase transformations within
the component. Compared with traditional liquid quenching, the thermal boundary conditions during gas quenching are relatively
simple to control. By adjusting the gas-quenching furnace pressure, the flow speed, or the spray nozzle configuration, the
heat-transfer coefficients can be designed in terms of both the component geometry and the quenching time. The purpose of
this research is to apply the optimization methodology to design the gas-quenching process. The design objective is to minimize
the distortion caused by quenching. Constraints on the average surface hardness, and its distribution and residual stress
are imposed. The heat-transfer coefficients are used as design variables. DEFORM-HT is used to predict material response during
quenching. The response surface method is used to obtain the analytical models of the objective function and constraints in
terms of the design variables. Once the response surfaces of the objective and constraints are obtained, they are used to
search for the optimum heat-transfer coefficients. This process is then used instead of the finite-element analysis. A one-gear
blank case study is used to demonstrate the optimization scheme. 相似文献
Forging is a complex nonlinear process that is vulnerable to various manufacturing anomalies, such as variations in billet
geometry, billet/die temperatures, material properties, and workpiece and forging equipment positional errors. A combination
of these uncertainties could induce heavy manufacturing losses through premature die failure, final part geometric distortion,
and reduced productivity. Identifying, quantifying, and controlling the uncertainties will reduce variability risk in a manufacturing
environment, which will minimize the overall production cost. In this article, various uncertainties that affect the forging
process are identified, and their cumulative effect on the forging tool life is evaluated. Because the forging process simulation
is time-consuming, a response surface model is used to reduce computation time by establishing a relationship between the
process performance and the critical process variables. A robust design methodology is developed by incorporating reliability-based
optimization techniques to obtain sound forging components. A case study of an automotive-component forging-process design
is presented to demonstrate the applicability of the method. 相似文献
This paper presents a preform design method which employs an alternative boundary node release criterion in the finite element simulation of backward deformation of forging processes. The method makes use of the shape complexity factor which provides an effective measure of forging difficulty. The objective is to release die contacting nodes in a sequence which will minimize the geometric complexity throughout the backward deformation simulation. This is done by calculating the effect of releasing each of a select group of boundary element nodes at each finite element solution step. The particular detached node which results in the minimum shape complexity factor will be released for the current step. This process continues for each backward step until the last few nodes remain in contact. This design method is demonstrated through the simulated forging of an integrated blade and rotor turbine disk blank. A preform shape developed by this method is compared with an empirically designed preform. Performance parameters for comparison include die fill, flash volume, effective strain variance, frictional power and die load. Comparing the results of the forward simulations indicates improved performance of the preform design using FEM based backward deformation method over that of the empirical design. 相似文献
The Low-Density Parity Check (LDPC) codes of Euclidean Geometry (EG) are encrypted and decrypted in numerous ways, namely Soft Bit Flipping (SBF), Sequential Peeling Decoder (SPD), Belief Propagation Decoder (BPD), Majority Logic Decoder/Detector (MLDD), and Parallel Peeling Decoder (PPD) decoding algorithms. These algorithms provide aextensive range of trade-offs between latency decoding, power consumption, hardware complexity-required resources, and error rate performance. Therefore, the problem is to communicate a sophisticated technique specifying the both soft and burst errors for effective information transmission. In this research, projected a technique named as Hybrid SBF (HSBF) decoder for EG-LDPC codes, which reduces the decoding complexity and maximizes the signal transmission and reception. In this paper, HSBF is also known as Self Reliability based Weighted Soft Bit Flipping (SRWSBF) Decoder. It is obvious from the outcomes that the proposed technique is better than the decoding algorithms SBF, MLDD, BPD, SPD and PPD. Using Xilinx synthesis and SPARTAN 3e, a simulation model is designed to investigate latency, hardware utilization and power consumption. Average latency of 16.65 percent is found to be reduced. It is observed that in considered synthesis parameters such as number of 4-input LUTs, number of slices, and number of bonded IOBs, excluding number of slice Flip-Flops, hardware utilization is minimized to an average of 4.25 percent. The number of slices Flip-Flops resource use in the proposed HSBF decoding algorithm is slightly higher than other decoding algorithms, i.e. 1.85%. It is noted that, over the decoding algorithms considered in this study, the proposed research study minimizes power consumption by an average of 41.68%. These algorithms are used in multimedia applications, processing systems for security and information.