Lucky Charms Marbit Separation Critical Design Review May 16, 2003 Gregory Dickman Roy Mitchell Karen Palumbo George Simmonds Scott Walker Andy Wang.

Slides:



Advertisements
Similar presentations
Sections 7-1 and 7-2 Review and Preview and Estimating a Population Proportion.
Advertisements

Aim: How do we find confidence interval using SPSS? SPSS Assignment 3 due Thursday.
10-1 Introduction 10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Figure 10-1 Two independent populations.
Senior Design Team 3 Ron Capalbo, Brittany Russo, Matthew Holt, Elizabeth Keighley Sponsored By: NASA ESMD Senior Design Program & WANTS/NEEDS/CONSTRAINTS:
Sampling Distributions
Chapter 11: Inference for Distributions
Optical Stage Redesign Team 4025 Senior Design II – Spring
Tests of Hypothesis [Motivational Example]. It is claimed that the average grade of all 12 year old children in a country in a particular aptitude test.
Quality Control Testing
Economics 173 Business Statistics Lecture 9 Fall, 2001 Professor J. Petry
Sample Design.
Chapter 5 Sampling and Statistics Math 6203 Fall 2009 Instructor: Ayona Chatterjee.
Linear Regression Inference
Team Hot Stuff Mrs. Shaw.
Estimating a Population Mean
Lesson Comparing Two Means.
INT 506/706: Total Quality Management Introduction to Design of Experiments.
Fundamentals of Data Analysis Lecture 4 Testing of statistical hypotheses.
Estimation of Statistical Parameters
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Sections 6-1 and 6-2 Overview Estimating a Population Proportion.
Random Sampling, Point Estimation and Maximum Likelihood.
CHAPTER 18: Inference about a Population Mean
Shutter Timing and Flash Synchronization System Joel Hoffa Shaun Pontsler November 10, 2005 Advisor: Professor Herr.
Experimental Design If a process is in statistical control but has poor capability it will often be necessary to reduce variability. Experimental design.
Sampling and sampling distibutions. Sampling from a finite and an infinite population Simple random sample (finite population) – Population size N, sample.
C E L L R E S P I R A T I O N L A B By: Kelly Blochlinger, Andrew Lazo, Cecelia Sha.
Volume melted in batch >= 20 gallons Flow Rate >= 50 lbs/hr Width
Slide Slide 1 Section 8-3 Testing a Claim About a Proportion.
Pressure Gauge Load Cell Pressure Release Valve Compression Lid Disc Backers Base Water Fz Air Core Bushing W.L. Gore – Lateral Permeability Test Device.
1 Chapter 8 Sampling Distributions of a Sample Mean Section 2.
Sampling And Resampling Risk Analysis for Water Resources Planning and Management Institute for Water Resources May 2007.
Sections 7-1 and 7-2 Review and Preview and Estimating a Population Proportion.
Lesson Testing Claims about a Population Proportion.
Chapter 3: Software Project Management Metrics
ANOVA: Analysis of Variance.
Statistical Process Control04/03/961 What is Variation? Less Variation = Higher Quality.
Lesson Comparing Two Means. Knowledge Objectives Describe the three conditions necessary for doing inference involving two population means. Clarify.
Introduction Studying the normal curve in previous lessons has revealed that normal data sets hover around the average, and that most data fits within.
Copyright © Cengage Learning. All rights reserved. Chi-Square and F Distributions 10.
12/02/99Team #12 Optimized Magnet Support EML 4551 Optimized Magnet Support EML 4551 Senior Design Dr. Luongo 12/02/99 Deliverable #3 Team #12 David Moore.
Sampling Fundamentals 2 Sampling Process Identify Target Population Select Sampling Procedure Determine Sampling Frame Determine Sample Size.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Unit 5: Estimating with Confidence Section 11.1 Estimating a Population Mean.
ANALYSIS PHASE OF BUSINESS SYSTEM DEVELOPMENT METHODOLOGY.
+ Unit 5: Estimating with Confidence Section 8.3 Estimating a Population Mean.
Heat Transfer System By Team Awesome: Sub-team Awesomer.
CAD CAM. 2 and 3 Dimensional CAD: Using 2-dimensional CAD software, designers can create accurate, scaled drawings of parts and assemblies for designs.
Fundamentals of Data Analysis Lecture 4 Testing of statistical hypotheses pt.1.
Class Six Turn In: Chapter 15: 30, 32, 38, 44, 48, 50 Chapter 17: 28, 38, 44 For Class Seven: Chapter 18: 32, 34, 36 Chapter 19: 26, 34, 44 Quiz 3 Read.
Chapter 8: Estimating with Confidence
CHAPTER 29: Multiple Regression*
Lesson Comparing Two Means.
Process Capability.
BBI Detection - IMASS Training
Warmup To check the accuracy of a scale, a weight is weighed repeatedly. The scale readings are normally distributed with a standard deviation of
Chapter 8: Estimating with Confidence
CHAPTER 18: Inference about a Population Mean
Estimating with Confidence
Team P15441 Mini Air Sub-System Design Review
FEA of strut sample.
Essential Statistics Two-Sample Problems - Two-sample t procedures -
CS/EE/ME 75(a) Nov. 19, 2018 Today: Prelimnary Design Review Homework.
AP Statistics Chapter 12 Notes.
CHAPTER 18: Inference about a Population Mean
CHAPTER 18: Inference about a Population Mean
Errors and Uncertainties
Introduction to the t Test
Detailed Design Presentation
Testing a Claim About a Proportion
Presentation transcript:

Lucky Charms Marbit Separation Critical Design Review May 16, 2003 Gregory Dickman Roy Mitchell Karen Palumbo George Simmonds Scott Walker Andy Wang

© 2002 Lucky Charms Senior Design Team 2 Agenda Background Objective Intricacies and Constraints Deliverables Concept Development Preliminary Testing Concept Selection Fabrication Final Testing Proposed Design

© 2002 Lucky Charms Senior Design Team 3 Background Lucky Charms Cereal Consists of 2 main components, Marbits and Base Cereal. Currently General Mills employs an offline check to ensure the marbit percentage per box. The process is performed by separating marbits by hand. The marbits are discarded after this process, and the base cereal is utilized for further testing.

© 2002 Lucky Charms Senior Design Team 4 Objective General Mills requested that we develop a device, method and procedure to replace the current separation method. The process must… –Be statistically repeatable –Be Accurate within 1% of the current method –Be robust and straightforward –Be completed in 5 minutes or less by 1 lab technician –End with sample of base cereal that can be crushed and used for further testing

© 2002 Lucky Charms Senior Design Team 5 Intricacies and Constraints Marbits and base cereal are approximately the same size, weight and density. Special promotional marbits are often added to the cereal. A budget of $1500 was allotted to the group for research, testing and prototype.

© 2002 Lucky Charms Senior Design Team 6 Concept Development A series of concepts ideas were developed, a few were chosen for further analysis. Concept Development

© 2002 Lucky Charms Senior Design Team 7 Preliminary Testing Tests were performed in the chemistry lab. Simple prototypes were assembled in order to assess the feasibility of ideas. Ideas were analyzed and synthesized to find optimal design. Two most feasible designs were chosen to be fabricated as prototypes.

© 2002 Lucky Charms Senior Design Team 8 Concept Selection Heat Tray designPin Press design Common components were utilized to enable both designs to be fabricated under the allotted budget.

© 2002 Lucky Charms Senior Design Team 9 Fabrication  100% Team Fabricated (Except Heating Element)  Similar Designs  Identical Sub-Frames  Modifications Made to Press Plates

© 2002 Lucky Charms Senior Design Team 10 Pin Press Testing

© 2002 Lucky Charms Senior Design Team 11 Heat Tray Testing

© 2002 Lucky Charms Senior Design Team 12 Heat Tray Testing (Destruction) 198 g separated by hand 198 g separated with heat tray prototype Base cereal was tested for Vitamin C and Moisture Hypothesis tests were conducted and showed no significant difference 5 boxes of cereal tested Base cereal was tested for Vitamin C and Moisture

© 2002 Lucky Charms Senior Design Team 13 Heat Tray Testing (Temperature) Various studies performed to determine optimal temperature of hot plate and pressure time. Plate surface varies within +/- 10 degrees Celsius due to crude dial and nature of heating element.

© 2002 Lucky Charms Senior Design Team 14 Heat Tray Testing (Repeatability) A gage study was performed to determine differences between operators, within operators and between batches. Difficulties resulted due to the non-uniform distribution and randomness of the hot plate.

© 2002 Lucky Charms Senior Design Team 15 Heat Tray Testing (Time) Based on time study analysis, it is estimated that separation would take 6.54 min with a hot plate of the same effectiveness. Based on 100% accuracy (error times included in study) With incorporation of a higher caliber hot plate, it estimated error rates can be reduced by approximately 50% yielding a total process time of 4.80 minutes.

© 2002 Lucky Charms Senior Design Team 16 Proposed Design Based on a 12 by 24 inch proportional controlled hot plate

© 2002 Lucky Charms Senior Design Team 17 Budget

© 2002 Lucky Charms Senior Design Team 18 Questions