scholarly journals A Systematic Method for Hardware Software Codesign using Vivado HLS

2019 ◽  
Vol 8 (4) ◽  
pp. 467-472
Keyword(s):  
Design Analysis ◽  
Design Stage ◽  
Concurrent Design ◽  
Wire Length ◽  
Systematic Method ◽  
Design Metrics ◽  
Place And Route ◽  
Vivado Hls

This paper aims to provide increased productivity for designing, integrating and implementing systems using xilinx vivado design suite. It can accelerate design implementation with place and route tools that analytically optimize for multiple and concurrent design metrics such as timing, congestion, total wire length, utilization and power; it also provides design analysis capabilities at each design stage. An overview of vivado design suite is illustrated with configuration, implementation, detailed implementation, summary, settings along with component name. Here the component DDS compiler has been chosen and the waveform repository, design settings are added to it. Improved productivity results are indicated through simulation, synthesis, implementation, bitstream generation.

scholarly journals Design, Analysis and Selection of Planar Parallel Mechanisms

2018 ◽  
Vol 7 (2.32) ◽  
pp. 44
Author(s):  
P Vijay ◽  
Dr A. Srinath ◽  
P Sri Naga Venkat ◽  
L Ranganath ◽  
P Appalaraju
Keyword(s):  
Conceptual Design ◽  
Design Analysis ◽  
Design Stage ◽  
Parallel Mechanisms ◽  
Single Degree ◽  
Conceptual Design Stage ◽  
Robot Hands ◽  
Selection Of

This paper presents the application of methodology for ten bar single degree mechanisms and selecting the best among them at the conceptual design stage itself. This saves lot of time for one wants to carry away analysis for getting desired output of the mechanism at the design stage. The methodology has been applied to Tiscler robot hands successfully and has obtained the best mechanism in motion distribution among the links of the chain. 

Product Design Analysis Using the Assembly Design Evaluation Metric

1991 ◽  
Author(s):  
David E. Lee ◽  
Michel A. Melkanoff
Keyword(s):  
Product Design ◽  
Design Analysis ◽  
Design Stage ◽  
Design Evaluation ◽  
Generic Model ◽  
Design Data ◽  
Assembly Design ◽  
Initial Design ◽  
Evaluation Metric ◽  
Assembly Operations

Abstract Analysis of a product’s assembly properties is needed during the initial design stage in order to identify potential assembly problems. These problems affect product performance in the later stages of a product’s life cycle. An analysis methodology has been developed that supports product design analysis for assembly during the initial design stage. The methodology, referred to as the Assembly Design Evaluation Metric (ADEM), utilizes the incomplete nature of initial design data and a generic model of assembly operations in the analysis of a product design. ADEM generates ratings for each component of a product design and each process that would be needed to assemble the components together. From the individual component and process ratings, ADEM computes overall ratings for the product design itself. These overall product ratings can then be used to compare the differing iterations of a product design. Because ADEM provides an explicit model of assembly operations, different levels of data and process abstraction can be maintained and analyzed. This enables ADEM to evaluate product designs earlier in the design stage than existing design analysis methods such as DFA (design for assembly) techniques.

Design, Manufacturing and Testing Process of Buckling and Bending Testing Machine Using Systematic Method

2013 ◽  
Vol 393 ◽  
pp. 441-446
Author(s):  
Ichsan Setya Putra ◽  
Pham Hoang Nam ◽  
Hendri Syamsudin ◽  
Tatacipta Dirgantara ◽  
Le Xuan Truong
Keyword(s):  
Aluminum Alloys ◽  
Flexural Rigidity ◽  
Testing Machine ◽  
Analytical Calculation ◽  
Bending Test ◽  
Design Stage ◽  
Systematic Method ◽  
Advantages And Disadvantages ◽  
Detail Design ◽  
Buckling Test

In this work, a new testing machine is designed and manufactured with two main functions, i.e., buckling and bending experiment. This machine is designed for classroom demonstrations, or students working in pairs or small groups. The buckling experiment is used to show the buckling phenomenon and to determine critical buckling load for struts with pinned and clamped ends for various strut lengths. The struts for buckling test are made from aluminum alloys with section 2 mm × 20 mm and various lengths of 300mm, 350mm, 400mm, 450mm, 500mm. The bending experiment is carried out to find the flexural rigidity of a strut. The supports of strut in bending test can be changed to fixed, pinned, and rolled supports. The strut of bending test is made from aluminum alloys and common steel with section 3 mm × 20 mm and length 600 mm. Using a systematic method, the development of the machine is broken downinto 3 stages. The first stageof the systematic process is to define the specification based on requirements and objectives. In the second stage, the conceptual design is performed. It comprises the evaluation of the function to find advantages and disadvantages of the components based on the design requirements setup earlier and the comparison of the design concepts against several existing machines was made. Based on this evaluation, the final design is selected for stage 3 of the detail design stage. In this final stage, each component is designed and analyzed in detail. Based on the result of design stage, the testing machine is then manufactured in the Universitys workshop. The evaluation of the machine shows a new design that meets the requirements and objectives. The measurements of critical buckling loads and bending displacements for various strut lengths are in good agreements with analytical calculation. The margins are less than 5 percent.

Concurrent Topology Optimization of Lightweight Cellular Materials and Structures

2017 ◽  
Vol 868 ◽  
pp. 291-296
Author(s):  
He Ting Qiao ◽  
Shi Jie Wang ◽  
Xiao Ren Lv
Keyword(s):  
Topology Optimization ◽  
Material Design ◽  
Cellular Materials ◽  
Cellular Material ◽  
Design Stage ◽  
Concurrent Design ◽  
Design Variables ◽  
Macro Scale ◽  
Optimum Topology ◽  
Two Stages

In this paper, a two-stage optimization algorithm is proposed to simultaneously achieve the optimum structure and microstructure of lightweight cellular materials. Microstructure is assumed being uniform in macro-scale to meet manufacturing requirements. Furthermore, to reduce the computation cost, the design process is divided into two stages, which are concurrent design and material design. In the first stage, macro density and modulus matrix of cellular material are used both as design variables. Then, the optimum topology of macro-structure and modulus matrix of cellular materials will be obtained under this configuration. In the second stage, topology optimization technology is used to achieve a micro-structure of cellular material which is corresponded with the optimum modulus matrix in the earlier concurrent design stage. Moreover, the effectiveness of the present design methodology and optimization scheme is then demonstrated through numerical example.

Concurrent Design Analysis of High-Linearity SP10T Switch With 8.5 kV ESD Protection

2014 ◽  
Vol 49 (9) ◽  
pp. 1927-1941 ◽  
Author(s):  
X. Shawn Wang ◽  
Xin Wang ◽  
Fei Lu ◽  
Chen Zhang ◽  
Zongyu Dong ◽  
...  
Keyword(s):  
Design Analysis ◽  
Concurrent Design ◽  
High Linearity ◽  
Esd Protection

Concurrent Design of Sheet Metal Forming Product and Process

1999 ◽  
Vol 121 (2) ◽  
pp. 189-194 ◽  
Author(s):  
S. Yang ◽  
K. Nezu
Keyword(s):  
Process Modeling ◽  
Design Stage ◽  
Design System ◽  
Concurrent Design ◽  
Empirical Knowledge ◽  
Design Environment ◽  
Forming Process ◽  
Preliminary Design Stage ◽  
Product And Process ◽  
Definition Of

An inverse finite element (FE) algorithm is used to develop a sheet forming process modeling module and numeric models are extracted out of the process modeling results. Both the representation schemes for numeric models and the empirical knowledge along with their integration into the knowledge base are discussed. To facilitate the definition of knowledge and the assertion of facts and support the inference capability, a shell called “Concurrent Design Environment (CDE)” is developed. Certainty factors for quality assurance can be evaluated by using the concurrent design system which is aimed at achieving a compatible design of sheet product and forming process at the preliminary design stage. Case studies are included to demonstrate the feasibility of this proposed system.

Job Validation Studies and Physical Agility Testing: Is the Vendor Telling You What They Think You Want or Are You Telling Them What You Need?

2016 ◽  
Vol 21 (6) ◽  
pp. 5-11
Author(s):  
E. Randolph Soo Hoo ◽  
Stephen L. Demeter
Keyword(s):  
Equal Employment Opportunity Commission ◽  
Job Analysis ◽  
Specific Work ◽  
Test Protocol ◽  
Systematic Method ◽  
Technical Standards ◽  
Work Related ◽  
Physical Abilities ◽  
Specific Factors ◽  
Key Terms

Abstract Referring agents may ask independent medical evaluators if the examinee can return to work in either a normal or a restricted capacity; similarly, employers may ask external parties to conduct this type of assessment before a hire or after an injury. Functional capacity evaluations (FCEs) are used to measure agility and strength, but they have limitations and use technical jargon or concepts that can be confusing. This article clarifies key terms and concepts related to FCEs. The basic approach to a job analysis is to collect information about the job using a variety of methods, analyze the data, and summarize the data to determine specific factors required for the job. No single, optimal job analysis or validation method is applicable to every work situation or company, but the Equal Employment Opportunity Commission offers technical standards for each type of validity study. FCEs are a systematic method of measuring an individual's ability to perform various activities, and results are matched to descriptions of specific work-related tasks. Results of physical abilities/agilities tests are reported as “matching” or “not matching” job demands or “pass” or “fail” meeting job criteria. Individuals who fail an employment physical agility test often challenge the results on the basis that the test was poorly conducted, that the test protocol was not reflective of the job, or that levels for successful completion were inappropriate.

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