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Topology optimization with accessibility constraint for multi-axis machining

Amir M. Mirzendehdel, Morad Behandish, Saigopal Nelaturi
2020 Computer-Aided Design  
In this paper, we present a topology optimization (TO) framework to enable automated design of mechanical components while ensuring the result can be manufactured using multi-axis machining.  ...  In other words, many of the optimized design features cannot be accessed by a machine tool without colliding with the part (or fixtures).  ...  Acknowledgement This research was developed with funding from the Defense Advanced Research Projects Agency (DARPA).  ... 
doi:10.1016/j.cad.2020.102825 fatcat:72adcmeidrgfph6v6q6yjezppq

A Novel Mathematical Formulation for Density-based Topology Optimization Method Considering Multi-Axis Machining Constraint [article]

Hao Deng, Albert C. To
2021 arXiv   pre-print
This paper proposes a novel density-based method for structural design considering restrictions of multi-axis machining processes.  ...  The formulation is developed for 5-axis machining, which can be also applied to 2.5D milling restriction.  ...  Acknowledgement The financial support for this work from National Science Foundation (CMMI-1634261) is gratefully acknowledged.  ... 
arXiv:2107.04017v2 fatcat:vke4r5ga7ra6pebgoyg5pelofa

Topology Optimization for Manufacturing with Accessible Support Structures [article]

Amir M. Mirzendehdel, Morad Behandish, Saigopal Nelaturi
2021 arXiv   pre-print
manufacturing (SM), for instance multi-axis machining.  ...  We present a systematic approach to topology optimization (TO) of parts for AM followed by SM to ensure removability of support structures, while optimizing the part's performance.  ...  Nelaturi, Topology optimization with accessibility constraint for multi-axis machining, Computer-Aided Design 122 (2020) 102825. 475 [7] V. Bhavar, P. Kattire, V. Patil, S. Khot, K. Gujar, R.  ... 
arXiv:2108.02829v1 fatcat:wosjjvmnnvcllegoucfkhtgkoe

A subtractive manufacturing constraint for level set topology optimization

Nigel Morris, Adrian Butscher, Francesco Iorio
2020 Structural And Multidisciplinary Optimization  
We will show how to efficiently enforce the constraint during level set-based topology optimization modifying the advection velocity such that at each iteration the topology optimization maintains a descent  ...  We primarily target multi-axis CNC milling approaches but the method should generalize to other subtractive methods as well.  ...  Conclusion We have demonstrated a novel method for topology optimization with a manufacturing constraint suitable for subtractive milling machines.  ... 
doi:10.1007/s00158-019-02436-y fatcat:cv7x2cz2b5eb7ibgitmofc6p2q

Topology optimization for multi-axis machining

Matthijs Langelaar
2019 Computer Methods in Applied Mechanics and Engineering  
Abstract This paper presents a topology optimization approach that incorporates restrictions of multi-axis machining processes.  ...  The formulation is developed for 5-axis processes, but also covers other multi-axis milling configurations, e.g. 2.5D milling and 4-axis machining by including the appropriate machining directions.  ...  Acknowledgment The author would like to thank Krister Svanberg for providing the Fortran implementation of his Method of Moving Asymptotes, which was used in this work.  ... 
doi:10.1016/j.cma.2019.03.037 fatcat:3eeuknndhrarjgzw3z2xi2uqmq

Advanced spatial network metrics for cognitive management of 5G networks

Ignacio Sanchez-Navarro, Jorge Bernal Bernabe, Jose M. Alcaraz-Calero, Qi Wang
2020 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
These metrics, together with enabling and optimization algorithms, are purposely designed to address the complexity of 5G network topologies introduced by network virtualization and infrastructure sharing  ...  among operators (multi-tenancy).  ...  , Multi-Tenant 5G Networks"), and by AXA Postdoctoral Scholarship awarded by the AXA Research Fund (Cyber-SecIoT project).  ... 
doi:10.1007/s00500-020-05132-y fatcat:kd57oez2tjh6llwwckugo4gaie

Current and future trends in topology optimization for additive manufacturing

Jikai Liu, Andrew T. Gaynor, Shikui Chen, Zhan Kang, Krishnan Suresh, Akihiro Takezawa, Lei Li, Junji Kato, Jinyuan Tang, Charlie C. L. Wang, Lin Cheng, Xuan Liang (+1 others)
2018 Structural And Multidisciplinary Optimization  
Manufacturing-oriented topology optimization has been extensively studied the past two decades, in particular for the conventional manufacturing methods, e.g., machining and injection molding or casting  ...  Therefore, the motivation of this perspective paper is to summarize the state-of-art topology optimization methods for a variety of AM topics.  ...  Figure 10 . 10 Alternative mechanisms to achieve multi-axis extrusion [133] Figure 12 . 12 Experimental verification of a printed PAC sample with optimized topology [156] Figure 13 . 13 CT scan  ... 
doi:10.1007/s00158-018-1994-3 fatcat:7zwm6ykq4feipgtway3n5fyt2m

Optimizing Build Orientation for Support Removal using Multi-Axis Machining

Amir M. Mirzendehdel, Morad Behandish, Saigopal Nelaturi
2021 Computers & graphics  
In this paper, we present a framework for optimizing the build orientation with respect to removability of support structures.  ...  In particular, given a general multi-axis machining setup and sampled build orientations, we define a Pareto-optimality criterion based on the total support volume and the "secluded" support volume defined  ...  Inaccessibility Measure Field Here, we will briefly explain the accessibility analysis required for imposing the support accessibility constraint for multi-axis machining.  ... 
doi:10.1016/j.cag.2021.07.011 fatcat:4o56lijgzjgt3ilat4uo6fq3aa

Design Optimization of Multi-Layer Permanent Magnet Synchronous Machines for Electric Vehicle Applications

Koua Malick Cisse, Sami Hlioui, Mhamed Belhadi, Guillaume Mermaz Rollet, Mohamed Gabsi, Yuan Cheng
2021 Energies  
Both methodologies are based on 2D finite element models and coupled to a genetic algorithm to optimize complex non-linear geometries such as multi-layer permanent magnet machines.  ...  The choice of the electromagnetic model during the optimization process will therefore influence the geometry and the performances of the obtained electrical machine after the optimization.  ...  Optimization Procedure An optimization problem for multi-objective with m constraints can be defined as: min : f 1 (x), f 2 (x), . . . . . . ., f p (x) s.t.g j (x) ≤ 0, j = 1, 2, . . . .., mx l ≤ x ≤ x  ... 
doi:10.3390/en14217116 fatcat:l6lggxaaujg2vigy4u36g22pry

Designing for Additive Manufacturing

B. Vayre, F. Vignat, F. Villeneuve
2012 Procedia CIRP  
A designing methodology will then be suggested and illustrated with the redesign of an example part.  ...  In this paper, after reviewing the principle of additive manufacturing of metallic parts, the manufacturing capabilities and constraints of these processes will be examined.  ...  This can be achieved by using the Product Engineering Optimizer of CATIA V5 for example which is a module performing multi-discipline and multi-goal optimization.  ... 
doi:10.1016/j.procir.2012.07.108 fatcat:fqbrx6xbynd33dnx6f2gmqz2du

Support-free volume printing by multi-axis motion

Chengkai Dai, Charlie C. L. Wang, Chenming Wu, Sylvain Lefebvre, Guoxin Fang, Yong-Jin Liu
2018 ACM Transactions on Graphics  
Wang) while taking into account constraints from the robotic printing system. Our method successfully generates tool-paths for 3D printing models with large overhangs and high-genus topology.  ...  ABSTRACT This paper presents a new method to fabricate 3D models on a robotic printing system equipped with multi-axis motion.  ...  Unlike multi-axis milling, that mainly focuses on forming the surface of a model by cutting materials, multi-axis AM faces the problem of filling the volume with evenly spaced, non overlapping trajectories  ... 
doi:10.1145/3197517.3201342 fatcat:shysilzacncz3ioeofaaweh7yu

A design methodology for additive manufacturing applied to fused deposition modeling process

Boyard Nicolas, Christmann Olivier, Rivette Mickael, Richir Simon
2019 Mechanics & Industry  
Then, a topology optimization limits the useful volume of material of the part in order to limit the weight and the manufacturing time.  ...  The aim of this article is to propose a design methodology for the production of parts in additive manufacturing (AM).  ...  It also offers economic and industrial perspectives based on known and easy to implement tools such as CAD software, topological optimization and slicing software.  ... 
doi:10.1051/meca/2019040 fatcat:waug72cw35brtgscpcl72334me

A Holistic Electrical Machine Design Tool for More-Electric and Hybrid-Electric Aircraft

Dmitry Golovanov, David Gerada, Luca Papini, Zeyuan Xu, Chris Gerada
2018 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)  
This paper looks at the development aspects of a multi-domain tool to aid for system-level optimization of electrical machines within next-generation high power-density aerospace applications.  ...  The power density of electrical machines required for more-electric and hybrid-electric aircraft has become a critical aspect and target of optimization.  ...  The machine is analyzed in generation mode. The d-q axis model is adopted with the rotor considered aligned to the q-axis.  ... 
doi:10.1109/esars-itec.2018.8607715 fatcat:ardy6ka7hvdmvguu6bq6wytowe

Hydra: Leveraging Functional Slicing for Efficient Distributed SDN Controllers [article]

Yiyang Chang, Ashkan Rezaei, Balajee Vamanan, Jahangir Hasan, Sanjay Rao, T. N. Vijaykumar
2016 arXiv   pre-print
The conventional approach to scaling Software Defined Networking (SDN) controllers today is to partition switches based on network topology, with each partition being controlled by a single physical controller  ...  We present Hydra, a framework for distributed SDN controllers based on functional slicing.  ...  For these measurements, we ran Floodlight controller on our machine with 4 cores of CPU and 64 GB of memory.  ... 
arXiv:1609.07192v1 fatcat:qhjyr72hbfchnbi34upwhdgnuu

SVM-Based Multi-Dividing Ontology Learning Algorithm and Similarity Measuring on Topological Indices

Linli Zhu, Gang Hua, Haci Mehmet Baskonus, Wei Gao
2020 Frontiers in Physics  
In this work, a support vector machines based multi-dividing ontology learning algorithm is proposed.  ...  topological indices.  ...  ACKNOWLEDGMENTS Thanks to the reviewers for their constructive comments on the revision of this article.  ... 
doi:10.3389/fphy.2020.547963 fatcat:7kikfznumjeftb3r77knrn7x3i
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