A parametric design and optimization approach to enhance the fatigue life of a male pyramid socket adapter

Range Extended Electric Vehicles (REEV) are still one of the suitable concepts for modern sustainable low emission vehicles. REEV is equipped with a small and lightweight unit, comprised usually of an internal combustion engine with an electric generator, and has thus the technical potential to overcome the main limitations of a pure electric vehicle – range anxiety, overall driving range, heating, and air-conditioning demands – using smaller battery: saving money, and raw materials. Even though several REx ICE concepts were designed in past, most of the available studies lack more complex design and optimization approach, not exploiting the advantageous single point operation of these engines. Resulting engine designs are usually rather conservative, not optimized for the best efficiency. This paper presents a multi-parametric and multi-objective optimization approach, that is applied on a REx ICE. Our optimization toolchain combines a parametric GT-Suite ICE simulation model, modeFRONTIER optimization software with various optimization strategies, and a parametric CAD model, that first provides some simulation model inputs, and second also serves for the final designs’ feasibility check. The chosen ICE concept is a 90 degrees V-twin engine, four-stroke, spark-ignition, naturally aspirated, port injected, OHV engine. The optimization goal is to find the thermodynamic optima for three different design scenarios of our concept – three different engine displacements – addressing the compactness requirement of a REx ICE. The optimization results show great fuel efficiency potential by applying our optimization methodology, following the general trends in increasing ICE efficiency, and power for a naturally aspirated concept.

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Design and Fatigue Optimization of Drive Shaft

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.37285 ◽

2021 ◽

Vol 9 (VIII) ◽

pp. 194-203

Author(s):

Ashish Bawkar

Keyword(s):

Fatigue Life ◽

Natural Frequency ◽

Drive Shaft ◽

Von Mises Stress ◽

Hollow Shaft ◽

Design And Optimization ◽

The Road ◽

Increasing Demand ◽

Von Mises ◽

Fea Analysis

This work aims towards the design and optimization of the drive shaft as there is increasing demand for weight reduction in an automobile vehicle. The drive shaft is basically a torque transmitting element which transmit the torque from the differential gearbox to the respective wheels. In general, the drive shafts are subjected to fluctuating loads as the torque requirement changes according to the road conditions. Due to this, the drive shaft should be designed considering fatigue failure. The Maruti Suzuki Ertiga model is chosen for design and optimization of the drive shaft. For the fatigue life predicting of the drive shaft, the S-N curve approach is used. Furthermore, the inner diameter of the shaft is varied to obtain the optimized diameter of a hollow shaft which can withstand these fluctuating loads without failure. Along with fatigue life prediction, the natural frequency of the hollow shaft is also calculated. Furthermore, the parametric analysis is carried out of fatigue FOS, Von mises stress, weight and natural frequency of the shaft by varying the diameter ratio of the hollow shaft, and the nature of variation of these parameters are plotted in their respective graphs. The design is validated by performing FEA analysis for each case of a hollow shaft using Ansys software. Finally, from the FEA analysis we conclude that the optimized dimensions of the hollow drive shaft are safe.

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Aerodynamic design and optimization of propellers for multirotor

Aircraft Engineering and Aerospace Technology ◽

10.1108/aeat-12-2020-0288 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Witold Artur Klimczyk

Keyword(s):

Structural Integrity ◽

Navier Stokes ◽

Optimization Approach ◽

Minimum Thickness ◽

Design Problems ◽

Content Type ◽

Design And Optimization ◽

Propeller Design ◽

Unmanned Air Vehicle ◽

Propeller Blades

Purpose This paper aims to present a methodology of designing a custom propeller for specified needs. The example of propeller design for large unmanned air vehicle (UAV) is considered. Design/methodology/approach Starting from low fidelity Blade Element (BE) methods, the design is obtained using evolutionary algorithm-driven process. Realistic constraints are used, including minimum thickness required for stiffness, as well as manufacturing ones – including leading and trailing edge limits. Hence, the interactions between propellers in hex-rotor configuration, and their influence on structural integrity of the UAV are investigated. Unsteady Reynolds-Averaged Navier–Stokes (URANS) are used to obtain loading on the propeller blades in hover. Optimization of the propeller by designing a problem-specific airfoil using surrogate modeling-driven optimization process is performed. Findings The methodology described in the current paper proved to deliver an efficient blade. The optimization approach allowed to further improve the blade efficiency, with power consumption at hover reduced by around 7%. Practical implications The methodology can be generalized to any blade design problem. Depending on the requirements and constraints the result will be different. Originality/value Current work deals with the relatively new class of design problems, where very specific requirements are put on the propellers. Depending on these requirements, the optimum blade geometry may vary significantly.

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Optimization in a Design System for Complex Products

18th Design Automation Conference: Volume 1 — Optimum Design, Manufacturing Processes, and Concurrent Engineering ◽

10.1115/detc1992-0109 ◽

1992 ◽

Author(s):

Johan Malmqvist

Keyword(s):

Parametric Design ◽

System Optimization ◽

Optimization Method ◽

Design System ◽

Design Problems ◽

Design And Optimization ◽

Complex Products ◽

Knowledge Based ◽

Product Models ◽

Use Of Knowledge

Abstract This paper describes a system for parametric design and optimization of complex products. In the system, the use of knowledge-based and mathematical programming methods is combined. The motivation is that while knowledge-based methods are well suited for modeling products, they are insufficient when dealing with design problems that can be given an optimization formulation. This weakness was approached by including the information necessary for stating an optimization problem in the product models. A system optimization method can then be applied. The system also performs sensitivity analysis and has an interactive optimization module. The use of the system is illustrated by an example; the design and optimization of a two-speed gearbox.

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Dynamic Analysis and Parametric Optimization of Telescopic Tubular Mast Applied on Solar Sail

10.21203/rs.3.rs-116065/v1 ◽

2020 ◽

Author(s):

Chen-Yang Ji ◽

Jin-Guo Liu ◽

Chen-Chen Wu ◽

Peng-Yuan Zhao ◽

Ke-Li Chen

Keyword(s):

Natural Frequency ◽

Parametric Design ◽

Solar Sail ◽

Work Flow ◽

Equivalent Model ◽

Genetic Optimization ◽

Design And Optimization ◽

Development Cycle ◽

Equivalent Load ◽

Genetic Optimization Algorithm

Abstract The Telescopic Tubular Mast (TTM) has excellent performance and is widely used in aerospace. Reasonable parameter design and optimization can shorten development cycle and improve performance for TTM. This paper designed a TTM driven by the bistable carbon reeled composite boom. The equivalent model of the TTM is established and simulated, which can be used as ex-tending structure for the solar sail. The work flow of the solar sail with the TTM is introduced. The natural frequency of the equivalent model and the segmented model is solved respectively using ABAQUS. The TTM under six different load conditions is analyzed. The influence of different factors on the vibration characteristics of the TTM is analyzed and the sensitivity analysis is carried out. Parameters including stiffness, natural frequency, mass and extension ratio are optimized using the multi-objective genetic optimization algorithm. According to the optimization results, the prototype was processed, and the experiment was completed with the equivalent load of solar sail. It provides a reference for the parametric design of the TTM.

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Optimum Design and Characterization of Rare Earth-Doped Fibre Amplifiers by Means of Particle Swarm Optimization Approach

Swarm Intelligence for Electric and Electronic Engineering ◽

10.4018/978-1-4666-2666-9.ch007 ◽

2012 ◽

pp. 127-147 ◽

Cited By ~ 1

Author(s):

Girolamo Fornarelli ◽

Antonio Giaquinto ◽

Luciano Mescia

Keyword(s):

Particle Swarm Optimization ◽

Optical Fibre ◽

Fibre Length ◽

Particle Swarm ◽

Optical Amplifier ◽

Optimization Approach ◽

Swarm Optimization ◽

Design And Optimization ◽

Fibre Amplifiers

The rapid increasing of internet services requires communication capacity of optical fibre networks. Such a task can be carried out by Er3+-doped fibre amplifiers, which allow to overcome limits of unrelayed communication distances. The development of efficient numerical codes provides an accurate understanding of the optical amplifier behaviour and reliable qualitative and quantitative predictions of the amplifier performance in a large variety of configurations. Therefore, the design and optimization of the optical fibre can benefit of this important tool. This chapter proposes an approach based on the Particle Swarm Optimization (PSO) for the optimal design and the characterization of a photonic crystal fibre amplifier. Such approach is employed to find the optimal parameters maximizing the gain of the amplifier. The comparison with respect to a conventional algorithm shows that the proposed solution provides accurate results. Subsequently, the presented method is used to study the amplifier behaviour by evaluating the curves of optimal fibre length, erbium concentration, gain, and pumping configuration. Finally, the PSO based algorithm is exploited to determine the upconversion parameters corresponding to a desired value of gain. This application is particularly intriguing since it allows recovery of the values of parameters of the optical amplifier, which cannot be directly measured.

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