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市場調查報告書

引擎開發:變革、機會

Engine development - transformation and opportunity

出版商 Autelligence 商品編碼 337024
出版日期 內容資訊 英文 62 pages
商品交期: 最快1-2個工作天內
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引擎開發:變革、機會 Engine development - transformation and opportunity
出版日期: 2015年06月30日 內容資訊: 英文 62 pages
簡介

本報告提供模擬軟體的成長,最新的促進要素及趨勢評論,今後預計的發展相關的考察。

摘要整理

第1章 動機、趨勢

第2章 系統工程的改善

  • 系統工程的課題

第3章 過渡期的模擬:基本面、機會

  • 引擎模擬,複雜度與課題
  • 系統建模,基本設計的0D及1D
    • 系統模型中主要的軟體產品
  • 與空間建模一起必要的精密度
    • 空間分解模擬主要的軟體產品
    • 燃燒模擬主要的軟體產品
  • 摘要

第4章 最佳化削減工作負載

  • 活用工程人力資源的最佳化、自動化設計
  • 流程自動化作成工程平台
    • 最佳化的軟體產品

第5章 模擬的理解:模擬資料管理

  • 模擬資料管理上主要軟體產品

第6章 趨勢、預測:新的模擬,更佳的引擎

  • 電腦的提升使利用擴大
  • 預測

企業簡介

  • ANSYS
  • AVL Software
  • CD-ADAPCO
  • Convergent Science
  • Dassault Systems
  • FEV Software
  • Gamma Technologies
  • Optimum Power Technology
  • PTC
  • Ricardo Software
  • Siemens PLM Software

確認事項

附錄A:CAD

圖表清單

目錄

In recent years, combustion engines have become increasingly advanced.

The complexity of both diesel and petrol variants has intensified in response to the need for manufacturers to produce engines that are clean and fuel efficient yet quiet and engaging to drive. Modern engines can be enhanced with a host of innovative features including valve actuation, direct injectors with multiple injection jets and exhaust gas recirculation. The downside is that this increases development costs and timescales.

Thankfully, computer simulation is helping to provide a solution. Now widely adopted, simulation technology allows designers to rapidly model and test engine and component performance, shorten concept to production timescales and improve systems engineering and visualization whilst controlling costs.

'Engine development - transformation and opportunity ', reviews the growth of simulation software, the very latest drivers and trends and provides an intriguing insight into its expected future development.

"A simulation-centric approach to developing new engines promises a far cheaper way to explore the entire design space, resulting in more thoughtful designs and robust choices "

Far from merely presenting engineers with aesthetically pleasing electronic images, simulation can be used to proactively manage engine complexity. Software models are typically less expensive to build and test than engine hardware and can equip engineers with the data they need to make better decisions faster than ever before.

The thought-provoking report also explains:

  • Why CAE simulation has become an indispensible aid in the analysis of NVH, durability, cooling requirements, combustion and other engineering characteristics.
  • Why software tools can give companies unprecedented systems engineering, option evaluation and visualization capabilities.
  • Map-Based, Mean Value, 0D and 1D models.
  • The implications for workflow automation, optimization and fluid dynamics modelling.
  • Why companies must embrace simulation or risk being left behind.

"As engineers understand the benefits of automating what were once their jobs, better, more optimized engines will be designed faster "

Furthermore, 2015 is believed to be a landmark year for the technology after which many industry leaders will no longer be asking whether CAE works but how they extract maximum benefits from it. In fact, as simulation technology becomes ever more advanced and yet easier to use, the potential to streamline the entire engine development process is significant.

The report provides essential reading that could help to shape the future strategies of manufacturers around the globe.

Table of Contents

Executive summary 3

Chapter 1: Motivations and trends

  • 1.1 Skyrocketing engine complexity impacting development cost
  • 1.2 Engine simulations the key to managing complexity
  • 1.3 Preview and targeted audience
  • Targeted audience

Chapter 2: Improving systems engineering

  • 2.1 Systems engineering challenges

Chapter 3: Simulation in transition - fundamentals and opportunities

  • 3.1 Engine simulations, complex and challenging
  • 3.2 System modeling, 0D and 1D for basic design
    • 3.2.1 The main software offerings in system models
  • 3.3 Precision as needed with spatial modeling
    • Elements and geometry
    • Graduated fidelity
    • 3.3.1 Main software offerings in spatially resolved simulations
      • Boutique engine simulation suppliers
      • General purpose tools
      • Specialty combustion modeling
    • 3.3.2 Main software offerings in combustion simulation
  • 3.4 Summary - building blocks in context

Chapter 4: Reducing workload through optimization

  • 4.1 Optimization and automatic design leverages engineering talent
  • 4.2 Process automation creates engineering platforms
    • 4.2.1 Software offerings in optimization

Chapter 5: Making sense of simulations - simulation data management

  • 5.1 Main Software Offerings in Simulation Data Management

Chapter 6: Trends and forecasts - more simulation, better engines

  • 6.1 Expanded use as computers improve
  • 6.2 Forecasts - outlook through 2020

Company profiles

  • ANSYS
  • AVL Software
  • CD-ADAPCO
  • Convergent Science
  • Dassault Systems
  • FEV Software
  • Gamma Technologies
  • Optimum Power Technology
  • PTC
  • Ricardo Software
  • Siemens PLM Software

Acknowledgements

Appendix A: Computer Aided Design (CAD)

Table of figures

  • Figure 1.1: Engine complexity by degrees of calibration effort
  • Figure 1.2: Software gives developers new insights into engine assembly
  • Figure 1.3: Data you can see and move at your desk - simulations versus physical tests
  • Figure 2.1: System V: achieving engineering unity; the whole is the sum of its parts
  • Figure 3.1: Examples of low and high fidelity engine modeling
  • Figure 3.2: Low fidelity engine modeling combined with analytical tools
  • Figure 3.3: Animating a 0D system model using CAD simulating valve float
  • Figure 3.4: Example of analysis data created from a CAD model of a piston
  • Figure 3.5: Geometric and spatial harmony using 3D temperature modeling
  • Figure 3.6: Adaptive mesh refinement reduces computational load
  • Figure 3.7: Types of "model fuels" validated to simulate specific behaviors, like ignition delay or pollutant-emission production
  • Figure 3.8: Database overview of reactor and flame model simulations to test complex combustion processes
  • Figure 3.9: Computational intensity between various modeling techniques
  • Figure 3.10: Where and which modeling techniques, in the continuum of computational intensity, fit into the systems engineering V-model
  • Figure 4.1: Optimizing the final product, shown as a feedback loop with design components, by a computer aided engineering (CAE) model
  • Figure 4.2: Shape optimization produces a lightweight part by deleting unwanted material
  • Figure 4.3: Linking different models by co-simulation using a combination of xml files and C code under the Functional Mock-up Interface (FMI)
  • Figure 5.1: Simulation Data Management tools give a systematic means of keeping track of, and using, simulation data in a coherent and consistent way
  • Figure 6.1: The potential of computing power by 2020
  • Figure 6.2: Modeling milestones for supercomputing to Exascale by 2020

Table of tables

  • Table 3.1 Types of computational, non-spatially resolved models useful for engine simulation
  • Table 3.2: Popular software packages in 0D/1D modeling
  • Table 3.3: Types of computational, spatially resolved models useful for engine simulation
  • Table 3.4: CAE software supplied by companies with a special knowledge and background in engine simulation
  • Table 3.5: Selected general purpose CAE simulation tools
  • Table 3.6: Combustion simulation software packages and their applications
  • Table 4.1: Optimization and workflow packages - integrating multiple software, models, and applications together to form an automated multidisciplinary simulation process
  • Table 5.1: Software solutions for managing data simulations
  • Table 6.1: Speculations on key developments: forecast and outlook
  • Table A.1: CAD data formats often used in translation and data exchange
  • Table A.2: Most popular geometric modeling kernels in CAD packages
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