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Articoli di riviste sul tema "Design automation"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Shah, Ankit P., Prof Kalpesh N. Shah, and Prof Harsh B. Joshi. "Design Automation of Shell." Indian Journal of Applied Research 4, no. 4 (2011): 214–16. http://dx.doi.org/10.15373/2249555x/apr2014/65.

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2

Cook, B. M. "Design automation." Computer-Aided Design 21, no. 8 (1989): 535. http://dx.doi.org/10.1016/0010-4485(89)90064-x.

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3

Farrell, Bradley. "The role of the human in an age of automation." APPEA Journal 58, no. 2 (2018): 545. http://dx.doi.org/10.1071/aj17188.

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The liquefied natural gas (LNG) industry in Australia has a very large installed asset base that is highly automated. This paper explores established, emerging and experimental automations that could materially impact human work in existing LNG facilities. The focus is on automations that assist with physical interventions on the built asset. Riley’s method for assessing the level of automation is used on current and emerging automations in the industry. Use cases demonstrate that as automation increases, the primary focus of the human becomes one of system design, monitoring and intervention.

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4

Dahiyat, Bassil I., and Stephen L. Mayo. "Protein design automation." Protein Science 5, no. 5 (1996): 895–903. http://dx.doi.org/10.1002/pro.5560050511.

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5

Nambiar, Sanjay, Anan Ashrabi Ananno, Herman Titus, Anton Wiberg, and Mehdi Tarkian. "Multidisciplinary Automation in Design of Turbine Vane Cooling Channels." International Journal of Turbomachinery, Propulsion and Power 9, no. 1 (2024): 7. http://dx.doi.org/10.3390/ijtpp9010007.

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In the quest to enhance the efficiency of gas turbines, there is a growing demand for innovative solutions to optimize high-pressure turbine blade cooling. However, the traditional methods for achieving this optimization are known for their complexity and time-consuming nature. We present an automation framework to streamline the design, meshing, and structural analysis of cooling channels, achieving design automation at both the morphological and topological levels. This framework offers a comprehensive approach for evaluating turbine blade lifetime and enabling multidisciplinary design analy

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6

Scattini, Noel, and Stanislaw Paul MAJ. "Aquaponics Automation – Design Techniques." Modern Applied Science 11, no. 11 (2017): 28. http://dx.doi.org/10.5539/mas.v11n11p28.

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Aquaponics operators that have transitioned from hobby to commercial operators have commonly failed to meet commercial expectations. One of the reasons for failures is the occurrence of severe technical errors. Unexpected events can often have drastic financial consequences on new operators, which could be initially operating within tight margins. Standard techniques like Hazard and Operability studies (HAZOP) are conducted by process and chemical industries to do systematic analysis on a process and its sub-systems. Many aquaponics operators are not familiar with these design processes and fi

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7

Konstantinov, Gennadiy, and Sardor Akhmedov. "Automation of turbogenerator design." Proceedings of Irkutsk State Technical University 23, no. 6 (2019): 1126–35. http://dx.doi.org/10.21285/1814-3520-2019-6-1126-1135.

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8

Wharton, D. "Handbook of design automation." Proceedings of the IEEE 74, no. 1 (1986): 236–37. http://dx.doi.org/10.1109/proc.1986.13451.

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9

Nielsen, A. A. K., B. S. Der, J. Shin, et al. "Genetic circuit design automation." Science 352, no. 6281 (2016): aac7341. http://dx.doi.org/10.1126/science.aac7341.

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10

Waxman, Ronald. "Design Automation Standards Development." IEEE Transactions on Reliability R-36, no. 5 (1987): 507–13. http://dx.doi.org/10.1109/tr.1987.5222458.

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11

Kusiak, Andrew, and Mehmet Aktan. "Automation in Engineering Design." IFAC Proceedings Volumes 31, no. 15 (1998): 217–22. http://dx.doi.org/10.1016/s1474-6670(17)40556-8.

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12

Benel, R. A., R. D. Dancey, J. D. Dehn, J. C. Gutmann, and D. M. Smith. "Advanced Automation Systems design." Proceedings of the IEEE 77, no. 11 (1989): 1653–60. http://dx.doi.org/10.1109/5.47728.

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13

Murphy, E. E. "Technology '89: design automation." IEEE Spectrum 26, no. 1 (1989): 34–37. http://dx.doi.org/10.1109/6.16374.

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14

Murphy, E. E., and K. I. Werner. "Technology '88: design automation." IEEE Spectrum 25, no. 1 (1988): 35–37. http://dx.doi.org/10.1109/6.4480.

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15

Wilson, John. "Automation and work design." Applied Ergonomics 17, no. 1 (1986): 67–68. http://dx.doi.org/10.1016/0003-6870(86)90200-0.

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16

Do, Sung-Hee, and Gyung-Jin Park. "Application of Design Axioms for Glass Bulb Design and Software Development for Design Automation." Journal of Mechanical Design 123, no. 3 (2001): 322–29. http://dx.doi.org/10.1115/1.1372705.

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Abstract (sommario):

The automation concept is being applied to many areas as the automation system in the manufacturing field works more efficiently. Automation of the design process is also very important for the reduction of the entire engineering cost, and can be achieved by an excellent design process and software development. Design axioms have been announced as a general theoretical framework for all design fields. Application of the design axioms is investigated, and automation is obtained by computer programs. The design process can be analyzed and newly defined to satisfy the axioms. A software system ca

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17

Marwedel, P., and C. A. Lopez-Barrio. "Design, Design Automation, And Test In Europe." IEEE Design & Test of Computers 14, no. 2 (1997): 14–15. http://dx.doi.org/10.1109/mdt.1997.587735.

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18

Hashem, Nicholas, Mitchell Pryor, Derek Haas, and James Hunter. "Design of a Computed Tomography Automation Architecture." Applied Sciences 11, no. 6 (2021): 2858. http://dx.doi.org/10.3390/app11062858.

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This paper presents a literature review on techniques related to the computed tomography procedure that incorporate automation elements in their research investigations or industrial applications. Computed tomography (CT) is a non-destructive testing (NDT) technique in that the imaging and inspection are performed without damaging the sample, allowing for additional or repeated analysis if necessary. The reviewed literature is organized based on the steps associated with a general NDT task in order to define an end-to-end computed tomography automation architecture. The process steps include a

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19

Shahbazi, Sasha, Kerstin Johansen, and Erik Sundin. "Product Design for Automated Remanufacturing—A Case Study of Electric and Electronic Equipment in Sweden." Sustainability 13, no. 16 (2021): 9039. http://dx.doi.org/10.3390/su13169039.

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Remanufacturing is one of the main practices toward a circular economy and industrial sustainability. Remanufacturing is highly dependent on how circular products are designed and developed. Remanufacturing can also benefit from automation for efficiency, accuracy and flexibility. This paper, via a multiple case study, connects the three areas of remanufacturing, product design and automation and investigates how circular product design can facilitate automation remanufacturing processes. First, circular product design guidelines are discussed with regard to remanufacturing. Second, potential

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20

Geiselman, Eric E., Christopher M. Johnson, and David R. Buck. "Flight Deck Automation." Ergonomics in Design: The Quarterly of Human Factors Applications 21, no. 3 (2013): 22–26. http://dx.doi.org/10.1177/1064804613491268.

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We respond to claims that airline pilots may be losing their ability to manually control aircraft because overreliance on automation is eroding basic manual flying skills. We propose that better training is only a partial solution and that automation can be designed to better support human performance. We do not simply advocate more automation; rather, we envision a more context-aware automation design philosophy that promotes a more communicative and collaborative human-machine interface. Examples are used to illustrate the benefits of this approach. A companion piece to this article, which i

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21

Godghate, Sushant, and Satoru Yamaguchi. "Rule Based Ship Design Automation." Journal of the Japan Society of Naval Architects and Ocean Engineers 18 (2013): 199–206. http://dx.doi.org/10.2534/jjasnaoe.18.199.

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22

Kikuchi, Shunji. "Design Automation Technology on SMT." HYBRIDS 7, no. 3 (1991): 2–7. http://dx.doi.org/10.5104/jiep1985.7.3_2.

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23

Chen, Deming, Jason Cong, and Peichen Pan. "FPGA Design Automation: A Survey." Foundations and Trends® in Electronic Design Automation 1, no. 3 (2006): 195–334. http://dx.doi.org/10.1561/1000000003.

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24

Camp, B. H. "Electronic Design Automation (EDA '84)." Electronics and Power 31, no. 4 (1985): 327. http://dx.doi.org/10.1049/ep.1985.0202.

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25

Willis, J., and J. Damore. "Design automation Technical Committee Newsletter." IEEE Design & Test of Computers 21, no. 4 (2004): 343. http://dx.doi.org/10.1109/mdt.2004.28.

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26

Appleton, Evan, Curtis Madsen, Nicholas Roehner, and Douglas Densmore. "Design Automation in Synthetic Biology." Cold Spring Harbor Perspectives in Biology 9, no. 4 (2017): a023978. http://dx.doi.org/10.1101/cshperspect.a023978.

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27

Sudo, T. "Design automation systems in Japan." IEEE Design & Test of Computers 5, no. 6 (1988): 14–21. http://dx.doi.org/10.1109/54.9268.

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28

Tyson, Thomas R. "Effective Automation for Structural Design." Journal of Computing in Civil Engineering 5, no. 2 (1991): 132–40. http://dx.doi.org/10.1061/(asce)0887-3801(1991)5:2(132).

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29

Dyer, Hilary. "Workstation design for library automation." Program 26, no. 2 (1992): 97–110. http://dx.doi.org/10.1108/eb047108.

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30

Liu, Jianxia, and D. R. Strong. "SURVEY OF FIXTURE DESIGN AUTOMATION." Transactions of the Canadian Society for Mechanical Engineering 17, no. 4A (1993): 585–611. http://dx.doi.org/10.1139/tcsme-1993-0033.

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31

Hu, X. Sharon. "The 55th Design Automation Conference." IEEE Design & Test 35, no. 5 (2018): 75–77. http://dx.doi.org/10.1109/mdat.2018.2862894.

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32

Aitken, Robert. "56th Design Automation Conference Report." IEEE Design & Test 36, no. 6 (2019): 80–81. http://dx.doi.org/10.1109/mdat.2019.2942327.

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33

KAKOLLU, MOUNIKA, GIRISH VARMA VEGESNA, Vijaya Nagarjana Devi Duvvuri, SOWJANYA SWATHI NAMBHATLA, and RAVI VEMAGIRI. "Smart Design for Automation System." International Journal of Forensic Software Engineering 1, no. 1 (2019): 1. http://dx.doi.org/10.1504/ijfse.2019.10023806.

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34

Kim, Chol. "Trend of LSI Design Automation." Journal of the Society of Mechanical Engineers 95, no. 884 (1992): 590–93. http://dx.doi.org/10.1299/jsmemag.95.884_590.

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35

Sonnleitner, Bernhard. "Bioprocess automation and bioprocess design." Journal of Biotechnology 52, no. 3 (1997): 175–79. http://dx.doi.org/10.1016/s0168-1656(96)01642-2.

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36

Coates, T., A. Smith, M. Emanuel, and B. Peterson. "Automation of optimal laminate design." Australian Journal of Mechanical Engineering 6, no. 2 (2008): 119–26. http://dx.doi.org/10.1080/14484846.2008.11464566.

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37

Novoselov, Yu A. "Automation of cutting-tool design." Russian Engineering Research 28, no. 12 (2008): 1234–40. http://dx.doi.org/10.3103/s1068798x08120174.

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38

Murphy, E. E. "Reconciling conflicting design-automation standards." IEEE Spectrum 27, no. 3 (1990): 44–45. http://dx.doi.org/10.1109/6.48850.

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39

Fingrut, Adam, and Darwin Lau. "Construction Automation and Design Research." Technology|Architecture + Design 6, no. 2 (2022): 159–61. http://dx.doi.org/10.1080/24751448.2022.2116229.

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40

Rahmatian, Sasan. "Automation design: Its human problems." Systems Practice 3, no. 1 (1990): 67–80. http://dx.doi.org/10.1007/bf01062822.

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41

Bindra, Ashok, and Alan Mantooth. "Modern Tool Limitations in Design Automation: Advancing Automation in Design Tools is Gathering Momentum." IEEE Power Electronics Magazine 6, no. 1 (2019): 28–33. http://dx.doi.org/10.1109/mpel.2018.2888653.

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42

Chophel, Sonam, Pema Yangzom, Phub Zam, Karma Tshering, and Chencho. "Poultry Automation." Zorig Melong | A Technical Journal of Science, Engineering and Technology 4, no. 1 (2019): 18–23. https://doi.org/10.17102/zmv4.i1.004.

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The paper presents the system design and development of poultry automation. The proposed system presents the au tomatoing of three fundamental necessities of poultry farm. They are: the automation of feeding system, temperature automation and the automation of the light illumination. To achieve these three fundamental automations, Arduino microcontroller is used with various input sensors. Temperature sensor LM35 is used as an input sensor to detect the temperature range and passive light dependent resistor (LDR) is used to detect the intensity of the light. The developed poultry system is of

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43

Kuamar, B. Shiva, B. Satya Satwik, and N. Anil Kumar A. V. Tarun Kumar. "Design and Implementation of Bluetooth Based Industrial Automation." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (2019): 1130–32. http://dx.doi.org/10.31142/ijtsrd23180.

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44

Maksimovskii, D. E. "Automation of process design by design-technological parameterization." Russian Engineering Research 31, no. 9 (2011): 870–72. http://dx.doi.org/10.3103/s1068798x1109019x.

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45

Marques Cardoso, Antonio J. "Power Electronics Design Methods and Automation in the Digital Era: Evolution of Design Automation Tools." IEEE Power Electronics Magazine 7, no. 2 (2020): 36–40. http://dx.doi.org/10.1109/mpel.2020.2988077.

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46

MIHOLA, MILAN, ZDENEK ZEMAN, ADAM BOLESLAVSKY, JAN BEM, ROBERT PASTOR, and DAVID FOJTIK. "AUTOMATION OF DESIGN OF ROBOTIC ARM." MM Science Journal 2022, no. 3 (2022): 5876–82. http://dx.doi.org/10.17973/mmsj.2022_10_2022122.

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Robotic arms are complex mechatronic systems. Therefore, their design requires knowledge and experience from various technical fields, such as mechanics, electrical engineering, electronics or control. From the view of the requirements placed on developers, the design of robotic arms is one of the more complex tasks. Unfortunately, there is a lack of necessary specialists in this field of technology. Therefore, ways are sought to help existing specialists in their work and, simultaneously, reduce the time needed to design the required equipment. At the same time, there are also sought ways to

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47

Sroka, Michal, Roman Nagy, and Dominik Fisch. "Genetic Algorithms in Test Design Automation." Applied Mechanics and Materials 693 (December 2014): 153–58. http://dx.doi.org/10.4028/www.scientific.net/amm.693.153.

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Automation in the software testing process has significant impact on the overall software development in industry. Therefore, any automation in software testing has huge influence on overall development costs. The present article reviews the current state of the art of test case design automation via genetic algorithms. Three approaches applied in software testing are described with regards to their applicability in the testing of embedded software.

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48

Mitchell, Christine M. "Operations Automation: A Concept and Design Methodology for Human-Centered Automation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 47, no. 3 (2003): 320–24. http://dx.doi.org/10.1177/154193120304700315.

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49

Gui, Xue, Xiao Yan Zheng, Jian Wei Song, and Xia Peng. "Automation Bridge Design and Structural Optimization." Applied Mechanics and Materials 63-64 (June 2011): 457–60. http://dx.doi.org/10.4028/www.scientific.net/amm.63-64.457.

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This paper summarizes the structural optimization applications in civil engineering design and development of the situation based on the characteristics of the bridge structure design process is proposed for the bridge project to the genetic algorithm, neural network, expert system technology as the basis for combining automated design and optimization of structural design of the system; as basic idea, given the structure design of automation system design and optimization of the overall design framework, and prestressed beam design automation is simply an example of structural design and opti

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50

Smith, Philip J. "Conceptual Frameworks to Guide Design." Journal of Cognitive Engineering and Decision Making 12, no. 1 (2017): 50–52. http://dx.doi.org/10.1177/1555343417732239.

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This is a response providing some thoughts triggered by the paper “Issues in Human–Automation Interaction Modeling: Presumptive Aspects of Frameworks of Types and Levels of Automation,” by David Kaber. The key theme is that in order to debate the relative merits of different conceptual frameworks to guide human–automation interaction design efforts, we need a richer understanding of the psychology of design. We need to better understand how contributions by the field of cognitive engineering really affect the efforts of system designers.

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