Simulation and verification of machining deformation for composite materials

Li, Kai; Ye, Jinrui; Tang, Zhanwen; Liu, Weiping; Zhang, Boming

doi:10.1007/s11595-014-1020-6

Cited by 7 publications

(6 citation statements)

References 6 publications

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“…The material parameters of CYCOM 977‐2 were characterized for the simulation; whereas. those of CYCOM X850 were acquired from Liu et al 32 All the material parameters are summarized in Table 1. Unidirectional composite tensile tests were conducted for mechanical evaluation according to ASTM D3039.…”

Section: Methodsmentioning

confidence: 99%

Rapid prediction and inverse design of distortion behaviors of composite materials using artificial neural networks

Luo

Zhang

et al. 2020

Polymers for Advanced Techs

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If the process‐induced distortions (PIDs) of asymmetrical laminates can be predicted accurately and tailored at the early design stage, the production of curved panels from flat molds could be an attractive technique in a cost‐driven production environment. A data‐driven computational methodology which integrates the finite element method (FEM) and artificial neural network (ANN) is presented to rapidly predict the maximum PID and to perform high‐throughput screening of thermosetting‐matrix composites of an asymmetrical laminate for a targeted maximum PID. We performed a grid search on ANN architectures and hyper‐parameters using cross‐validation and obtained a well‐trained ANN model with high generalization performance. For the forward problem, the ANN model was adopted to predict the maximum PIDs of CYCOM X850 and CYCOM 977‐2 prepregs, which were subsequently verified experimentally. For inverse design, a large‐scale screening method based on the ANN model was utilized to determine the candidates for a targeted maximum PID, with an experimental demonstration using one of these candidates. The well‐trained ANN model provides an alternative approach to faster computation with high accuracy for the maximum PID prediction and further guides the discovery of materials with desired distortion behaviors.

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Section: Methodsmentioning

confidence: 99%

Rapid prediction and inverse design of distortion behaviors of composite materials using artificial neural networks

Luo

Zhang

et al. 2020

Polymers for Advanced Techs

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“…Before and after World War II, the evolution of the United States' decolonization policy in East Asia was a process of opposing the old colonial order in Europe and establishing a new colonial order in the United States [5]. The United States uses economic aid and investment to control the economy of Southeast Asian countries and influence the politics of Southeast Asian countries.…”

Section: The Economic Policy Of the United States To The Philippines ...mentioning

confidence: 99%

The impact of American Philippine economic policy on Philippine modern economy during the Cold War

2023

SHS Web of Conf.

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As an important country in Southeast Asia, the Philippines has repeatedly occupied an important geographical position and had an important geographical and political position during the Cold War. Since the Cold War, the relationship between the United States and the Philippines has been very close, and the influence of the United States on the Philippines is self-evident. Therefore, studying the political influence of the United States on Philippine economic policy during the Cold War has important theoretical and practical significance. Starting from the economic policy adopted by the United States in the Philippines, this paper analyzes the economic assistance methods of the United States to the Philippines and its political influence on the Philippines and explains why the United States exercises neocolonial control over the Philippines from two aspects. This article argues that the United States has influenced the Philippine economy in a neocolonial way in an attempt to expand the political influence and sphere of influence of the United States itself.

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“…Semiconductor materials such as bismuth telluride (Bi 2 Te 3 ) and antimony telluride (Sb 2 Te 3 ) are promising candidates for TEGs due to their large Seebeck coefficients . Although conducting polymers including polyaniline, epoxy, polyimide (PI), polypyrrole, and poly (3,4‐ethylenedioxythiophene:poly(styrenesulfonate)) have been proposed to fabricate flexible TEGs, their output power density is not sufficient due to their low ZT values and high contact resistance. In order to achieve higher output power density and suppress the heat‐loss through the substrates, organic–inorganic hybrid composite materials and associated coiled‐up structures have been proposed as alternatives for fabricating flexible TEGs .…”

Section: Power Harvesting Devices Utilize Sources From the Human Bodymentioning

confidence: 99%

Materials Strategies and Device Architectures of Emerging Power Supply Devices for Implantable Bioelectronics

Huang

Wang

et al. 2019

Small

101

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Implantable bioelectronics represent an emerging technology that can be integrated into the human body for diagnostic and therapeutic functions. Power supply devices are an essential component of bioelectronics to ensure their robust performance. However, conventional power sources are usually bulky, rigid, and potentially contain hazardous constituent materials. The fact that biological organisms are soft, curvilinear, and have limited accommodation space poses new challenges for power supply systems to minimize the interface mismatch and still offer sufficient power to meet clinical‐grade applications. Here, recent advances in state‐of‐the‐art nonconventional power options for implantable electronics, specifically, miniaturized, flexible, or biodegradable power systems are reviewed. Material strategies and architectural design of a broad array of power devices are discussed, including energy storage systems (batteries and supercapacitors), power devices which harvest sources from the human body (biofuel cells, devices utilizing biopotentials, piezoelectric harvesters, triboelectric devices, and thermoelectric devices), and energy transfer devices which utilize sources in the surrounding environment (ultrasonic energy harvesters, inductive coupling/radiofrequency energy harvesters, and photovoltaic devices). Finally, future challenges and perspectives are given.

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Simulation and verification of machining deformation for composite materials

Cited by 7 publications

References 6 publications

Rapid prediction and inverse design of distortion behaviors of composite materials using artificial neural networks

Rapid prediction and inverse design of distortion behaviors of composite materials using artificial neural networks

The impact of American Philippine economic policy on Philippine modern economy during the Cold War

Materials Strategies and Device Architectures of Emerging Power Supply Devices for Implantable Bioelectronics

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