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Professional Development (5) Technical Paper (1)

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Automotive (1)

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Quality, Reliability, and Durability (6) Design processes (2) Statistical analysis (2) Simulators (1) Suspension systems (1) Test equipment and instrumentation (1)

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Nakamaru, Toshiaki (1) Sakai, Yuushi (1)

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JSAE (1)

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NISSAN MOTOR CO., LTD. (1)

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Road-Load Input Analysis Method for Suspension Parts Using Multi-Axial Road Simulator

  • NISSAN MOTOR CO., LTD.-Yuushi Sakai, Toshiaki Nakamaru
  • Technical Paper
  • 2007-08-0569
Published 2007-10-01 by Society of Automotive Engineers of Japan in Japan
The durability test with road-load input is necessary for evaluating durability of body and chassis in automotive structure. This report shows the method to analyze road-load input to suspension system for development of simple suspension parts bench test. As a result, this method enables extracting the essential inputs to evaluate for durability of suspension parts using transfer function (frequency response function) measured by Multi-axial Road Simulation and wheel force transducer and these inputs contribute to developing a new bench test with good precision.

ANOVA for Design of Experiments

  • Professional Development
  • C0714
Published 2007-04-30
This seminar is suggested for product or process experts who have a need to utilize more detailed information concerning Design of Experiments analysis. It primarily addresses the subject of ANOVA, analysis of variance, which is a statistically based, objective decision-making tool. This is an advanced seminar that covers the fundamentals required to analyze orthogonal experiments, interpret, and recommend further action based on the analysis. Emphasis is placed on the analysis phase of the DOE process. The seminar covers DOE basic review, simple and complex ANOVA situations, process capability estimation, and a review of available computer software for experimental design and analysis.By attending this seminar, you will be able to: perform ANOVA for DOE analysisinterpret ANOVA resultsestimate process capability from ANOVA information1 Day .7 CEUs

Fundamentals of Statistical Process Control

  • Professional Development
  • C0553
Published 2005-08-26
As competition for market share increases, so does the need to monitor processes and quality to ensure top-notch products. This hands-on seminar will provide you with the skills to apply and maintain statistical process control to assist your organization in the improvement of various processes to achieve higher percentage yield or higher quality products or services. Quality characteristics (process outputs to track), measurement systems, sampling strategies, types of control charts, construction of control charts, and control chart interpretation will be covered. The determination of the key process parameters and controlling them to provide consistent results will improve quality and lower costs, in particular, scrap and rework costs. Statistical theory and depth are kept to a minimum while you learn how to utilize the tools. Attendees will receive a copy of the Statistical Process Control Manual (SPC-3, 2nd Edition) by the Automotive Industries Action Group.Upon completion of this seminar, you will be able to: Describe the purpose and uses of SPCSelect the best measurement system to use for a specific applicationIdentify an appropriate process sampling strategyDetermine…

Statistical Methods for Quality Engineering

  • Professional Development
  • C0554
Published 2005-08-23
Based on your test data or process data, do you ever wonder if: An improved product really performs better?A substitute material really processes the same?A cheaper material really performs satisfactorily?What confidence do you have in the final decision that you make? This seminar will help individuals responsible for product or process development and testing to statistically assess the variation of the product or process performance and make effective decisions with confidence. Technical personnel are consistently making changes to product and process designs and the resultant performance changes need a statistical basis for moving ahead to the cost assessment and release phases. Various continuous and discrete probability functions will be covered with the normal distribution receiving the most emphasis. Other distributions including Weibull, Exponential, Binomial, Poisson, Hypergeometric, and nonparametric comparisons will be covered. Various confidence intervals and tests of comparison, including Z test, Student's t tests, Chi-Square test, F test, and ANOVA for the normal distribution for these probability functions are covered. Attendees will work along with the instructor on many examples throughout the seminar and…

Design of Experiments (DOE) for Engineers

  • Professional Development
  • C0406
Published 2004-02-27
Design of Experiments (DOE) is a methodology that can be effective for general problem-solving, as well as for improving or optimizing product design and manufacturing processes. Specific applications of DOE include identifying proper design dimensions and tolerances, achieving robust designs, generating predictive math models that describe physical system behavior, and determining ideal manufacturing settings. This seminar utilizes hands-on activities to help you learn the criteria for running a DOE, the requirements and pre-work necessary prior to DOE execution, and how to select the appropriate designed experiment type to run. You will experience setting up, running, and analyzing the results of simple-to-intermediate complexity, Full Factorial, Partial Factorial, and Response Surface experiments utilizing manual methods as well as a hands-on computer tool that facilitates experimental design and data analysis. You will also receive an overview of Robust DOE, including the Taguchi DOE Method. Participants will be given information on how to receive, install and configure a fully-functional 30-day trial version of Minitab for their use in class, and/or for their personal evaluation. While some computers will be…

Weibull-Log Normal Analysis Workshop

  • Professional Development
  • 86034
Published 1997-05-29
RMS (Reliability-Maintainability-Safety-Supportability) engineering is emerging as the newest discipline in product development due to new credible, accurate, quantitative methods. Weibull Analysis is foremost among these new tools. New and advanced Weibull techniques are a significant improvement over the original Weibull approach. This workshop, originally developed by Dr. Bob Abernethy, presents special methods developed for these data problems, such as Weibayes, with actual case studies in addition to the latest techniques in SuperSMITH® Weibull for risk forecasts with renewal and optimal component replacement. Class work is used to reinforce key concepts, lectures are based on actual case studies, and personal computers and hands-on experiments are used to analyze dozens of Weibull & Log Normal problems. Students will be fully capable of performing basic and advanced RMS Engineering analysis with their own software on completion of the workshop. Attendees will receive the entire SuperSMITH® package - a complete self-study course and combined software package containing: SuperSMITH® Weibull, SuperSMITH® Visual, The New Weibull Handbook ® - 5th Edition and the PlayTIME TM Tutorial Booklet. A $960 value! ***Attendee…