MODEL-BASED ENGINEERING FOR LASER WEAPONS SYSTEMS

被引:0
|
作者
Panthaki, Malcolm [1 ]
Coy, Steve [2 ]
机构
[1] Comet Solut Inc, Albuquerque, NM USA
[2] Timelike Syst LLC, Albuquerque, NM USA
关键词
Model-Based Engineering; laser weapons R&D; integrated simulation environment; systems engineering; multi-physics simulation; multi-fidelity simulation; engineering analysis templates;
D O I
10.1117/12.899356
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The Comet Performance Engineering Workspace is an environment that enables integrated, multi-disciplinary modeling and design/simulation process automation. One of the many multi-disciplinary applications of the Comet Workspace is for the integrated Structural, Thermal, Optical Performance (STOP) analysis of complex, multi-disciplinary space systems containing Electro-Optical (EO) sensors such as those which are designed and developed by and for NASA and the Department of Defense. The Comet (TM) software is currently able to integrate performance simulation data and processes from a wide range of 3-D CAD and analysis software programs including CODE V (TM) from Optical Research Associates and SigFit (TM) from Sigmadyne Inc. which are used to simulate the optics performance of EO sensor systems in space-borne applications. Over the past year, Comet Solutions has been working with MZA Associates of Albuquerque, NM, under a contract with the Air Force Research Laboratories. This funded effort is a "risk reduction effort", to help determine whether the combination of Comet and WaveTrain (TM), a wave optics systems engineering analysis environment developed and maintained by MZA Associates and used by the Air Force Research Laboratory, will result in an effective Model-Based Engineering (MBE) environment for the analysis and design of laser weapons systems. This paper will review the results of this effort and future steps.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Implementation Strategy for Seamless Model-based Systems Engineering
    Weyer, Thorsten
    Goger, Marcel
    Koch, Walter
    Kremer, Birgit
    [J]. ATZ worldwide, 2021, 123 (7-8) : 66 - 71
  • [42] The Impact of Model-Based Systems Engineering on Reliability Growth
    Haughey, Bill
    [J]. 2020 ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM (RAMS 2020), 2020,
  • [43] Model-based engineering for change-tolerant systems
    Bohner, Shawn
    Ravichandar, Ramya
    Arthur, James
    [J]. INNOVATIONS IN SYSTEMS AND SOFTWARE ENGINEERING, 2007, 3 (04) : 237 - 257
  • [45] The AUTOSAR Way of Model-Based Engineering of Automotive Systems
    Doerr, Heiko
    [J]. GRAPH TRANSFORMATIONS, ICGT 2008, 2008, 5214 : 38 - 38
  • [46] An approach to Identifying Inconsistencies in Model-Based Systems Engineering
    Herzig, Sebastian J. I.
    Qamar, Ahsan
    Paredis, Christiaan J. J.
    [J]. 2014 CONFERENCE ON SYSTEMS ENGINEERING RESEARCH, 2014, 28 : 354 - 362
  • [47] Model-Based Architectural Patterns for Teaching Systems Engineering
    Lohar, Bhushan
    Cloutier, Robert
    [J]. INCOSE International Symposium, 2024, 34 (01) : 1494 - 1504
  • [48] Model-based Variant Management in Automotive Systems Engineering
    Otten, Stefan
    Glock, Thomas
    Hohl, Carl Philipp
    Sax, Eric
    [J]. 2019 5TH IEEE INTERNATIONAL SYMPOSIUM ON SYSTEMS ENGINEERING (IEEE ISSE 2019), 2019,
  • [49] An industrial feedback on model-based requirements engineering in systems engineering context
    Faudou, Raphael
    Bruel, Jean-Michel
    [J]. 2016 IEEE 24TH INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE WORKSHOPS (REW), 2016, : 190 - 199
  • [50] Application of Model-Based Systems Engineering Concepts to Support Mission Engineering
    Beery, Paul
    Paulo, Eugene
    [J]. SYSTEMS, 2019, 7 (03):