Application of Computer Aided Design Software in Interior Design

2021 ◽  
pp. 52-57
Author(s):  
Hongying Zhang ◽  
Jinwei Liu ◽  
Yu Lei
Keyword(s):  
Interior Design ◽  
Computer Aided Design ◽  
Computer Aided ◽  
Design Software ◽  
Aided Design

Computer-Aided Design in Interior Design Programs: Status and Challenges

1991 ◽  
Vol 17 (2) ◽  
pp. 47-50 ◽  
Author(s):  
Stephanie Clemons ◽  
Joan McLain-Kark
Keyword(s):  
Interior Design ◽  
Computer Aided Design ◽  
Computer Aided ◽  
Aided Design

Analysis and Processing of Index Tests Results at Double-Adjust Hydraulic Turbines with a Computer-Aided Design Software

2016 ◽  
Vol 823 ◽  
pp. 396-401
Author(s):  
Adrian Cuzmoş ◽  
Dorian Nedelcu ◽  
Constantin Viorel Câmpian ◽  
Cristian Fănică ◽  
Ana Maria Budai
Keyword(s):  
Computer Aided Design ◽  
Computer Aided ◽  
Hydraulic Turbines ◽  
Design Software ◽  
Index Tests ◽  
Aided Design

The paper presents a method developed and used by the CCHAPT researchers for the graphic plotting of the index tests results for hydraulic turbines, the comparison of the efficiency curves resulted from testing to those obtained by the model transposition [1] i.e. the determination and comparison of the existing combinatory cam with that obtained from tests.The method presented in the paper was born from the need for processing and presenting the results of index tests within the shortest delay and eliminating the errors that might occur in the results plotting.

scholarly journals Development of a computer-aided design software for the quantitative evaluation of aesthetic damage

PLoS ONE ◽  
2019 ◽  
Vol 14 (12) ◽  
pp. e0226322
Author(s):  
Nelson Massanobu Sakaguti ◽  
Mário Marques Fernandes ◽  
Luiz Eugênio Nigro Mazzilli ◽  
Juan Antonio Cobo Plana ◽  
Fernanda Capurucho Horta Bouchardet ◽  
...  
Keyword(s):  
Quantitative Evaluation ◽  
Computer Aided Design ◽  
Computer Aided ◽  
Design Software ◽  
Aided Design

Design with Depth

2005 ◽  
Vol 127 (12) ◽  
pp. 32-34
Author(s):  
Jean Thilmany
Keyword(s):  
Computer Aided Design ◽  
Three Dimensional ◽  
3D Design ◽  
Computer Aided ◽  
University Professor ◽  
Business Web ◽  
Design Software ◽  
Computer Monitors ◽  
Web Surfing ◽  
Aided Design

This article discusses that how mechanical engineers will pair their already-familiar computer-aided design software with not-so-familiar three-dimensional (3D) displays for true 3D design. This is in accordance to a number of vendors' intent on supplying the newfangled computer monitors, within the next two decades. Although some of the devices are already on the market, affordable 3D monitors and displays seem to be more than a decade away, according to one university professor at work on such a project. Widespread adoption is still hindered by factors such as cost, software availability, and lack of a mouse-like device needed to interact with what’s on screen. Over the past 25 years, mechanical engineers have witnessed evolutionary change in design methods-from pen and paper to two-dimensional software and now to 3-D computer-aided design. While software makers have stepped up with sleeker and faster modeling capabilities, visualization lags. Computer users two decades out will carry out all business, web surfing, and gaming on 3-D displays. That next generation may well find the very idea of 2-D monitors to be as dated as record albums seem to teenagers today.

Computer Aided Automotive Interior Design for Kansei Engineering

2011 ◽  
Vol 130-134 ◽  
pp. 504-507 ◽  
Author(s):  
Li Hong Zhu ◽  
Han Zhao ◽  
Xiao Chen Yin ◽  
Li Jun Zhu ◽  
Liang Zhang
Keyword(s):  
Interior Design ◽  
Automotive Industry ◽  
Computer Aided Design ◽  
Design Parameters ◽  
Kansei Engineering ◽  
Computer Aided ◽  
Quantitative Analysis Method ◽  
Aided Design ◽  
Industry Trends ◽  
Automotive Interior

Nowadays, the development of automotive industry trends more personalized and profuse product alternatives. Kansei Engineering has been applied to interior design for customer satisfaction based on ergonomic technology in the paper. The computer aided design automotive interior system includes two subsystems: one is Computer-aided Sensation Survey Subsystem and the other is Computer-aided Automobile Interior Design Subsystem. Mathematical statistics and quantitative analysis method are adopted to establish quantified relationship between product perceptual image and design parameters.

scholarly journals Additively manufactured versus conventionally pressed cranioplasty implants: An accuracy comparison

2018 ◽  
Vol 232 (9) ◽  
pp. 949-961 ◽  
Author(s):  
Sean Peel ◽  
Dominic Eggbeer ◽  
Hanna Burton ◽  
Hayley Hanson ◽  
Peter L Evans
Keyword(s):  
Additive Manufacturing ◽  
Computer Aided Design ◽  
Best Practice ◽  
Patient Specific ◽  
Computer Aided ◽  
Design Software ◽  
Uk National Health Service ◽  
Similar Accuracy ◽  
The Uk ◽  
Aided Design

This article compared the accuracy of producing patient-specific cranioplasty implants using four different approaches. Benchmark geometry was designed to represent a cranium and a defect added simulating a craniectomy. An ‘ideal’ contour reconstruction was calculated and compared against reconstructions resulting from the four approaches –‘conventional’, ‘semi-digital’, ‘digital – non-automated’ and ‘digital – semi-automated’. The ‘conventional’ approach relied on hand carving a reconstruction, turning this into a press tool, and pressing titanium sheet. This approach is common in the UK National Health Service. The ‘semi-digital’ approach removed the hand-carving element. Both of the ‘digital’ approaches utilised additive manufacturing to produce the end-use implant. The geometries were designed using a non-specialised computer-aided design software and a semi-automated cranioplasty implant-specific computer-aided design software. It was found that all plates were clinically acceptable and that the digitally designed and additive manufacturing plates were as accurate as the conventional implants. There were no significant differences between the additive manufacturing plates designed using non-specialised computer-aided design software and those designed using the semi-automated tool. The semi-automated software and additive manufacturing production process were capable of producing cranioplasty implants of similar accuracy to multi-purpose software and additive manufacturing, and both were more accurate than handmade implants. The difference was not of clinical significance, demonstrating that the accuracy of additive manufacturing cranioplasty implants meets current best practice.

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