Switch-Mode Power Supplies Spice Simulations and Practical Designs

Switch-Mode Power Supplies Spice Simulations and Practical Designs Review

Harness Powerful SPICE Simulation and Design Tools to Develop Cutting-Edge Switch-Mode Power Supplies

Switch-Mode Power Supplies: SPICE Simulations and Practical Designs is a comprehensive resource on using SPICE as a power conversion design companion. This book uniquely bridges analysis and market reality to teach the development and marketing of state-of-the art switching converters. Invaluable to both the graduating student and the experienced design engineer, this guide explains how to derive founding equations of the most popular converters…design safe, reliable converters through numerous practical examples…and utilize SPICE simulations to virtually breadboard a converter on the PC before using the soldering iron.

Filled with more than 600 illustrations, Switch-Mode Power Supplies: SPICE Simulations and Practical Designs enables you to:

• Derive founding equations of popular converters
• Understand and implement loop control via the book-exclusive small-signal models
• Design safe, reliable converters through practical examples
• Use SPICE simulations to virtually breadboard a converter on the PC
• Access design spreadsheets and simulation templates on the accompanying CD-ROM, with numerous examples running on OrCADË, ICAPSË, µCapË, TINAË, and more

Inside This Powerful SPICE Simulation and Design Resource

• Introduction to Power Conversion • Small-Signal Modeling • Feedback and Control Loops • Basic Blocks and Generic Models • Simulation and Design of Nonisolated Converters • Simulation and Design of Isolated Converters-Front-End Rectification and Power Factor Correction • Simulation and Design of Isolated Converters-The Flyback • Simulation and Design of Isolated Converters-The Forward

Simulation with Arena with CD (McGraw-Hill Series in Industrial Engineering and Management)

Simulation with Arena with CD (McGraw-Hill Series in Industrial Engineering and Management) Review

This fourth edition of Simulation with Arena has the same goal as the first three editions: to provide a comprehensive treatment of simulation concepts in general and the Arena simulation software in particular. It starts by having the reader develop simple, well-animated, high-level models, and then progresses to advanced modeling and analysis. Statistical design and analysis of simulation experiments is integrated with the modeling chapters, reflecting the joint nature of these activities in good simulation studies. The objective is to help the reader carry out effective simulation modeling, analysis, and projects using the Arena simulation system. An informal, tutorial writing style is used to aid the beginner in fully understanding the ideas and topics presented. Included is a CD containing the current version of the Arena academic software and the examples referenced throughout the text.

Starting with an introduction to simulation concepts, the book progresses through an overview of the Arena software, basic model development, input analysis, additional modeling constructs, output analysis, and advanced modeling. It also includes chapters on integrating Arena simulation models with other applications, specialized statistical issues, continuous simulation, and conducting a successful simulation study. It is intended primarily to be a text in a first course on simulation or for self-study. However, the later chapters could be incorporated into an advanced or graduate-level course.

Building on the success of the first three editions, published in 1998, 2002, and 2004, this edition retains the basic outline and tutorial style, built around a sequence of successively more complicated examples. All the examples and discussion, however, have been modified and updated to be consistent with the current version of the Arena software, and additional examples have been developed, along with more exercises. As before, a password-protected website for instructors provides support in terms of downloadable lecture slides and solutions to end-of-chapter exercises.

The book draws heavily on the experience and expertise of the authors, a professor at the University of Cincinnati specializing in simulation, and two seasoned members of Rockwell Software (formerly Systems Modeling), the developers of Arena, who are active in product design and development, training, consulting, and applications.

Forecasting and Simulating Software Development Projects: Effective Modeling of Kanban & Scrum Projects using Monte-carlo Simulation

Forecasting and Simulating Software Development Projects: Effective Modeling of Kanban & Scrum Projects using Monte-carlo Simulation Review

Forecasting and Simulating Software Development Projects explains how to effectively model Kanban and Scrum projects to get accurate forecasts of cost, delivery dates and staff requirements.

Modeling using Monte-carlo simulation allows rapid what-if analysis to find options that minimize cost and delivery time, whilst maximizing revenue. Simulation lets you hit target delivery dates, and shows the impact of hiring (or losing) staff with certain skillsets, taking software project leadership to a new level of maturity.

Target audience and key takeaways -

Project Managers: Understand modeling and forecast projects, and how to simulate those models to answer questions regarding delivery dates, cost, and staffing needs.

Development Managers and Team Leads: Understand how to reduce the amount of estimation required for cost and date forecasts, and determining what development events cause the most impact.

Executive Leadership: Understand how multiple teams can co-ordinate their forecasts in a methodical way, and provide a consistent approach to risk management and decision making.

Venture Capital Investors: Understand how to obtain reliable cost and date forecasts for potential investments and how to compare different software project investment portfolios.

Topics include -

Simulating Scrum and Kanban project methodologies

Forecasting the probability of hitting delivery date & costs

Hiring the right team size and skill mix

Creating visual animations and videos to sell solutions to others

Finding what model inputs are critical to delivery date

Effective (and minimal) story estimation and grouping strategies

Capturing the project deliverables and story backlog

Modeling development events: defects, added scope and blocking events

Reverse engineering real-world data to improve model accuracy

Simulation Modeling and Analysis

Simulation Modeling and Analysis Review

For courses in simulation offered at the advanced undergraduate or graduate level in departments of industrial engineering or schools of business, this text provides a state-of-the-art treatment of all of the important aspects of a simulation study, including modelling, simulation software, validation, selecting input probability distributions, and output data analysis. The new edition includes the most up-to-date research developments and many more examples and problems.

Developing Organizational Simulations: A Guide for Practitioners and Students (Applied Psychology Series)

Developing Organizational Simulations: A Guide for Practitioners and Students (Applied Psychology Series) Review

This book provides a concise source of information on effective and practical methods for constructing simulation exercises for the assessment of psychological characteristics relevant to effectiveness in work organizations. Simulation exercises present the examinee with descriptions of complex situations that stimulate aspects of real-world settings and problems. Examinees are required to demonstrate overt behavior in handling the problems presented. The process and/or products of this behavior are observed by trained assessors who observe behavior, classify behaviors into relevant dimensions, and evaluate effectiveness. Simulations can provide assessments of abilities, skills, and competencies not readily measured by other testing techniques.

Developing Organizational Simulations provides practical guidance for defining the attributes to be assessed, constructing the stimulus material, and designing methods for administration and scoring. Several different situational exercises are presented, including business games, leaderless group discussions, in-baskets, one-on-one interaction simulations, and case studies/presentations. Steps to ensure the reliability, validity, and legal defensibility of assessments from simulations are described. In addition, the book presents the use of simulation exercises for the purposes of personnel selection, training, development, and certification. Professional standards and guidelines relevant to the construction of simulation exercises are also covered.

Discrete-Event Simulation: Modeling, Programming, and Analysis (Springer Series in Operations Research and Financial Engineering)

Discrete-Event Simulation: Modeling, Programming, and Analysis (Springer Series in Operations Research and Financial Engineering) Review

"This is an excellent and well-written text on discrete event simulation with a focus on applications in Operations Research. There is substantial attention to programming, output analysis, pseudo-random number generation and modelling and these sections are quite thorough. Methods are provided for generating pseudo-random numbers (including combining such streams) and for generating random numbers from most standard statistical distributions." --ISI Short Book Reviews, 22:2, August 2002

Clinical Simulations for Nursing Education: Learner Volume

Clinical Simulations for Nursing Education: Learner Volume Review

Build clinical confidence! Help your students develop the critical assessment, clinical reasoning, and nursing care skills they need to deliver and practice safe and effective patient care. 51 structured simulation scenarios, designed to be used in conjunction with the Instructor Volume, let them apply the nursing process in a controlled, risk-free environment. Each realistic, patient-care simulation focuses on a defined clinical domain, critical knowledge and skills, levels of competency, evidenced-based practice guidelines, National Patient Safety Goals, and research-based design characteristics. Students can record their reflections at the end of each simulation to enhance self-awareness and develop insights into the patient care delivery process.

Wiley CPA Exam: How to Master Simulations

Wiley CPA Exam: How to Master Simulations Review

Now fully revised, the only guide you need to ace the simulation question requirements of the CPA Exam

Fully revised and updated, this tightly focused guide is like no other, focusing strictly on the simulation questions in the CPA Exam.

Providing nine case studies-three for each section tested on the CPA exam-Wiley CPA Exam: How to Master Simulations, Second Edition takes you step by step to show you how to complete each simulation tested on the exam.

O. Ray Whittington, well-known author and professor, uses his extensive experience to prepare candidates to master the simulations on the CPA Exam. Tightly focused, this study aid provides you with the tips and examples you need to study effectively, and includes

• All the new functionality of the simulation questions, including the new research requirements
• A complementary CD-ROM containing nine free full simulations to give you hands-on practice similar to the actual exam
• Essential guidance on how to do an efficient and effective search and how to understand the questions requirements
• Vital strategies on how to approach the research requirements of CPA exam simulations
• A detailed description of how to improve your written communications on the communication requirements of all sections of the exam
• Thorough guidance on how to complete Financial Accounting and Reporting, Regulation, and Auditing and Attestation simulations

Filled with tips and examples of how you can effectively navigate through the simulation questions and maximize your score, Wiley CPA Exam: How to Master Simulations, Second Edition equips you with a systematic approach to understanding the CPA Exam's simulation questions.

Engineering Analysis with SolidWorks Simulation 2010

Engineering Analysis with SolidWorks Simulation 2010 Review

Engineering Analysis with SolidWorks Simulation 2010 goes beyond the standard software manual because its unique approach concurrently introduces you to the SolidWorks Simulation 2010 software and the fundamentals of Finite Element Analysis (FEA) through hands-on exercises. A number of projects are presented using commonly used parts to illustrate the analysis features of SolidWorks Simulation. Each chapter is designed to build on the skills, experiences and understanding gained from the previous chapters.

The following FEA functionality of SolidWorks Simulation 2010 is covered:

• Linear static analysis of parts and assemblies
• Frequency (modal) analysis
• Buckling analysis
• Thermal analysis
• Drop test analysis
• Optimization analysis
• Nonlinear analysis
• Dynamic analysis

Table of Contents
1. Introduction
2. Static analysis of a plate
3. Static analysis of an L-bracket
4. Stress and frequency analysis of a pipe support
5. Static analysis of a link
6. Frequency analysis of a tuning fork and a plastic part
7. Thermal analysis of a pipeline component and heater
8. Thermal analysis of a heat sink
9. Static analysis of a hanger
10. Analysis of contact stress between two plates
11. Thermal stress analysis of a bi-metal beam
12. Buckling analysis of an L-beam
13. Static analysis of a bracket using adaptive solution methods
14. Drop test of a porcelain ring
15. Selected nonlinear problems
16. Mixed meshing problem
17. Analysis of a weldment using beam elements
18. Vibration Analysis - Modal Time History and Harmonic
19. Analysis of random vibration
20. Miscellaneous topics
21. Implementation of FEA into the design process
22. Glossary of terms
23. Resources available to FEA Users

Computer Simulation of Liquids

Computer Simulation of Liquids Review

A first in its field, this book is both an introduction to computer simulation of liquids for upper level undergraduates and a how-to guide for specialists. The authors discuss the latest simulation techniques of molecular dynamics and the Monte Carlo methods as well as how to avoid common programming pitfalls. Theoretical concepts and practical programming advice are amply reinforced with examples of computer simulation in action and samples of Fortran code. The authors have also included a wide selection of programs and routines on microfiche to aid chemists, physicists, chemical engineers, and computer scientists, as well as graduate and advanced students in chemistry.