scholarly journals A Novel Design Framework for Structures/Materials with Enhanced Mechanical Performance

Materials ◽  
2018 ◽  
Vol 11 (4) ◽  
pp. 576 ◽  
Author(s):  
Jie Liu ◽  
Xiaonan Fan ◽  
Guilin Wen ◽  
Qixiang Qing ◽  
Hongxin Wang ◽  
...  
Keyword(s):  
Mechanical Performance ◽  
Design Framework ◽  
Novel Design

scholarly journals Curvilinear Variable Stiffness 3D Printing For Improved Mechanical Performance

2021 ◽  
Author(s):  
Sadben Khan
Keyword(s):  
3D Printing ◽  
Mechanical Performance ◽  
Variable Stiffness ◽  
Fused Filament Fabrication ◽  
Work Cell ◽  
Material Deposition ◽  
Stiffness Design ◽  
Open Hole ◽  
Line Scanner ◽  
Novel Design

<div>Continuous Curvilinear Variable Stiffness (CCVS) is proposed as a novel design technique to generate Variable Stiffness design for improving the performance of composite panels featuring open-hole cut-outs. Compared to existing VS design techniques, CCVS steers the fibers around the cut-out without breaking at the holes using only a single design variable the geometry. The technique utilises a numerical method known as Source Panel method, which is typically utilised in the fluid dynamics world. Utilising this technique, the performance of an open hole ASTM D5766 coupon manufactured using Fused Filament Fabrication (FFF) was improved 16-38% depending on the ratio of the hole to the width of the specimen. The technique was further</div><div>improved on to allow for arbitrary geometries such as fuselage cut-outs. A fuselage cut-out case was examined, and it was shown that a CCVS design can improve the performance over a QuasiIsotropic design by 57%. To validate CCVS, it is necessary to first manufacture and validate the part. This was done by developing a robotic 3D printing work-cell capable of 5 axis of material deposition of both thermoplastic and pre-impregnated carbon fiber. Finally, an in-process inspection technique was developed using a laser line scanner in the work-cell for the purposes of quality control. </div>

A Bisociative Design Framework for Knowledge Discovery Across Seemingly Unrelated Product Domains

2012 ◽  
Author(s):  
Conrad S. Tucker ◽  
Sung Woo Kang
Keyword(s):  
Domain Knowledge ◽  
Current Data ◽  
Data Driven ◽  
Design Framework ◽  
Specific Domain ◽  
Cross Domain ◽  
Product Design Process ◽  
Product Domains ◽  
Multiple Domains ◽  
Novel Design

The Bisociative Design framework proposed in this work aims to quantify hidden, previously unknown design synergies/insights across seemingly unrelated product domains. Despite the overabundance of data characterizing the digital age, designers still face tremendous challenges in transforming data into knowledge throughout the design processes. Data driven methodologies play a significant role in the product design process ranging from customer preference modeling to detailed engineering design. Existing data driven methodologies employed in the design community generate mathematical models based on data relating to a specific domain and are therefore constrained in their ability to discover novel design insights beyond the domain itself (I.e., cross domain knowledge). The Bisociative Design framework proposed in this work overcomes the limitations of current data driven design methodologies by decomposing design artifacts into form patterns, function patterns and behavior patterns and then evaluating potential cross-domain design insights through a proposed multidimensional Bisociative Design metric. A hybrid marine model involving multiple domains (capable of flight and marine navigation) is used as a case study to demonstrate the proposed Bisociative Design framework and explain how associations and novel design models can be generated through the discovery of hidden, previously unknown patterns across multiple, unrelated domains.

A straightforward and miniature implementation method of postural synergies for replicating human grasp characteristics accurately and intuitively

2021 ◽  
Author(s):  
Yuan Liu ◽  
Li Jiang ◽  
Hong Liu ◽  
Dong Ming
Keyword(s):  
Transmission Ratio ◽  
Physical Parameters ◽  
Robot Hand ◽  
Design Framework ◽  
Electrical System ◽  
Implementation Method ◽  
Complex Mapping ◽  
Motion Characteristics ◽  
Novel Design ◽  
Postural Synergies

Abstract The postural synergies have great potentials to replicate human grasp characteristics, simplify grasp control and reduce the number of hardware needed actuators. However, due to the complex mapping relationship and jagged transmission ratio, the implemented mechanisms are always too bulky and loose which greatly limits its application. For current solutions, the replicating accuracy of motion characteristics or control intuition are compromised, and hitherto no work reports the replicating errors in literatures. To overcome these limitations, we present a novel design framework to determine the actuation configuration, implemented scheme and physical parameters. In this way, the mechanism is miniaturized and can be compactly embedded in hand palm, a self-contained synergy robot hand that integrated with mechanism, sensors and suited electrical system is built. The experiments demonstrate that the robot hand can accurately replicate the motion characteristics of two primary synergies, keep the control intuition to simplify grasp control, perform a better anthropomorphic motion capability and grasp different objects with versatile grasp functionality.

scholarly journals A novel design framework for solar thermal/electrical activation of building envelopes

2019 ◽  
Vol 1343 ◽  
pp. 012085
Author(s):  
Linus Walker ◽  
Alice Chevrier ◽  
Illias Hischier ◽  
Arno Schlueter
Keyword(s):  
Solar Thermal ◽  
Electrical Activation ◽  
Design Framework ◽  
Building Envelopes ◽  
Novel Design

A novel design framework for smart operating robot in power system

2018 ◽  
Vol 5 (2) ◽  
pp. 531-538 ◽  
Author(s):  
Qiang Wang ◽  
Xiaojing Yang ◽  
Zhigang Huang ◽  
Shiqian Ma ◽  
Qiao Li ◽  
...  
Keyword(s):  
Power System ◽  
Design Framework ◽  
Novel Design
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