Topological Optimization of a Mechanical System with Adaptive Convergence Criterion

نویسندگان

چکیده

Abstract Topological optimization (TO) is commonly used to design a part for additive manufacturing (AM), but rarely entire systems including several parts. How can be optimized mechanical system in which each changes the boundary conditions? A Design method called TOMS (Topological Optimization of Mechanical System) has been developed take into account variation conditions when optimizing When using loops are performed until converges. The object this article propose discussion on quantification convergence based practical case study.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Topological Optimization of Continuum Structures Using Optimality Criterion in ANSYS

2Professor, Department of Mechanical Engineering, G.B.P.U.A.T., Pantnagar, U.S.Nagar, Uttarakhand, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Topology optimization is the most important part of structural optimization which is employed when the design is at the conceptual stage. Gener...

متن کامل

Topological Optimization of Compliant Adaptive Wing Structure

Load-path-based topology optimization is used to synthesize a compliant adaptive aircraft wing leading edge, which deforms in a prescribed way when subject to a single point internal actuation. The load-path-based optimization method requires the specification of a parent lattice. Increasing the complexity of this lattice means the number of parameters required for a complete representation of ...

متن کامل

Adaptive Optimization with Constraints: Convergence and Oscillatory Behaviour

The problem of adaptive minimization of globally unknown functionals under constraints on the independent variable is considered in a stochastic framework. The CAM algorithm for vector problems is proposed. By resorting to the ODE analysis for analysing stochastic algorithms and singular perturbation methods, it is shown that the only possible convergence points are the constrained local minima...

متن کامل

Parameter Optimization Algorithm with Improved Convergence Properties for Adaptive Learning

The error in an artificial neural network is a function of adaptive parameters (weights and biases) that needs to be minimized. Research on adaptive learning usually focuses on gradient algorithms that employ problem–dependent heuristic learning parameters. This fact usually results in a trade–off between the convergence speed and the stability of the learning algorithm. The paper investigates ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Lecture notes in mechanical engineering

سال: 2021

ISSN: ['2195-4356', '2195-4364']

DOI: https://doi.org/10.1007/978-3-030-70566-4_15