Commercial Computer-Aided Design Software Optimises DRO Circuit Design

Author(s):  
B.S. Virdee ◽  
A.J. Parsons ◽  
R.G. Meadows
2017 ◽  
Vol 29 (6) ◽  
pp. 845-856 ◽  
Author(s):  
Sungmin Kim

Purpose The purpose of this paper is to develop a computer-aided design software for smart garments. Design/methodology/approach A circuit design software with graphical user interface and an automatic Arduino code generator has been developed. Findings Complex circuit design for smart garment can be performed using an intuitive graphical user interface. Sophisticated C codes for activating the smart garment can be generated without in-depth knowledge of C language and electronic devices. Research limitations/implications Circuit wiring is performed manually. Further work will be focused on the generation of an algorithm that can find the overlap-free design of complex circuit. Practical implications Smart garments with complex functions are expected to be designed more easily without in-depth knowledge of electronic circuits and computer programming. Social implications Researchers of smart garment will be able to concentrate on the actual function of smart garments rather than coding the complex C programs. Originality/value This is the first computer-aided smart garment design software that can not only design the circuit but also generate the computer codes.


2016 ◽  
Vol 823 ◽  
pp. 396-401
Author(s):  
Adrian Cuzmoş ◽  
Dorian Nedelcu ◽  
Constantin Viorel Câmpian ◽  
Cristian Fănică ◽  
Ana Maria Budai

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.


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 ◽  
...  

2005 ◽  
Vol 127 (12) ◽  
pp. 32-34
Author(s):  
Jean Thilmany

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.


Author(s):  
Sean Peel ◽  
Dominic Eggbeer ◽  
Hanna Burton ◽  
Hayley Hanson ◽  
Peter L Evans

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.


2019 ◽  
Vol 12 (3) ◽  
pp. 103-110
Author(s):  
Toonlanat Thuanthong ◽  
Paiwan Sudwan

AbstractBackgroundIdentification of sex from skeletal remains is an essential step in forensic anthropology. The skull is the second choice, after the pelvis, to estimate sex by osteometric methods.ObjectiveTo evaluate the process of identification of sex in Northern Thai from crania by using computer-aided design (AutoCAD) software and conventional caliper methods.MethodsDry skulls of 86 men and 74 women were examined. AutoCAD software and digital calipers were used to measure dimensions. Eleven of the 15 parameters were created for this study.ResultsMen are significantly larger than women in all parameters, except in the nasospinale–prosthion measurement. There were no significant differences in the intraobserver error test and between the AutoCAD and digital caliper measurements. The logistic regression analysis yielded a sex classification accuracy rate of 92.9% in men, 93.4% in women, and 93.1% of overall accuracy for AutoCAD software. When using digital calipers, there was an accuracy rate of 89.3% in men, 94.7% in women, and 91.9% for overall accuracy.ConclusionsAutoCAD software is a reliable method to predict the sex and provide high accuracy in sex determination from crania.


Author(s):  
Nicoleta SCARLAT ◽  
Severin CAZANESCU ◽  
Simona MALUREANU MALUREANU

Computer Aided Design (CAD) software plays an important role in the design phase of any engineering project. URBANO software application includes CANALIS - module for wastewater system design. CANALIS is a specialized application developed to help the designer to perform the process of sewage and hydraulic design of network of any size, by the aid of computer. With specific tools and features included, CANALIS offers a full range of possibilities for the designer to draw, label, dimension and plotting the drawings of the sewage networks.


2019 ◽  
Vol 1418 ◽  
pp. 012001 ◽  
Author(s):  
L Ramírez-Carvajal ◽  
G Sierra-Peñaranda ◽  
K Puerto-López ◽  
D Guevara-Ibarra

2020 ◽  
pp. 073563312096042
Author(s):  
Wanli Xing ◽  
Chenglu Li ◽  
Guanhua Chen ◽  
Xudong Huang ◽  
Jie Chao ◽  
...  

Integrating engineering design into K-12 curricula is increasingly important as engineering has been incorporated into many STEM education standards. However, the ill-structured and open-ended nature of engineering design makes it difficult for an instructor to keep track of the design processes of all students simultaneously and provide personalized feedback on a timely basis. This study proposes a Bayesian network model to dynamically and automatically assess students’ engagement with engineering design tasks and to support formative feedback. Specifically, we applied a Bayesian network to 111 ninth-grade students’ process data logged by a computer-aided design software program that students used to solve an engineering design challenge. Evidence was extracted from the log files and fed into the Bayesian network to perform inferential reasoning and provide a barometer of their performance in the form of posterior probabilities. Results showed that the Bayesian network model was competent at predicting a student’s task performance. It performed well in both identifying students of a particular group (recall) and ensuring identified students were correctly labeled (precision). This study also suggests that Bayesian networks can be used to pinpoint a student’s strengths and weaknesses for applying relevant science knowledge to engineering design tasks. Future work of implementing this tool within the computer-aided design software will provide instructors a powerful tool to facilitate engineering design through automatically generating personalized feedback to students in real time.


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