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NCDA: Pickle Sorter Project Proposal. Project 98.09 Sponsored by Ed Kee of Keeman Produce, Lincoln, DE. Overview. Introduction Description of Problem Method Wants Metrics Concepts System and Functional Benchmarking Schedule Division of labor Budget. Project Background.
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NCDA: Pickle Sorter Project Proposal Project 98.09 Sponsored by Ed Kee of Keeman Produce, Lincoln, DE
Overview • Introduction • Description of Problem • Method • Wants Metrics Concepts • System and Functional Benchmarking • Schedule • Division of labor • Budget
Project Background • Title: Pickle Sorter • Sponsor: Ed Kee of Keeman Produce • Problem: The pickling cucumber industry currently separates undesirable cucumbers from desirable ones manually. Mr. Kee would like a device to efficiently and reliably separate the usable cucumbers from the unusable ones.
Strategy • Mission: To provide an integrated, automated system to sort out undesirable pickles on the processing line. • Approach: Collect customer wants and develop them into metrics which can be used to evaluate benchmarks and concepts for a design solution.
Benchmarking • Current Method: • Manual selection and removal - No integrated, efficient, inexpensive system currently in use. • System: • Several integrated solutions exist, each having its own set of problems. • Functional: • Many of our concepts include functions that have been independently developed for other.
Wants Metrics • Cost • Price • Effectiveness • % Good Removed • % Bad Removed • Working Area • Length • Width • Reliability • Mean Time to Failure • Speed • Pickles Per Minute • Portability • Size • Weight
Concept Generation • Concepts • Brainstorming • Identification: • Imaging • Mechanical • Removal: • Pneumatic • Mechanical • Benchmarking • Systems: • Bacchus • Aweta • Functional: • Ensco • SensoRx • ELOP • Staalkat B.V.
Concepts • Imaging system coupled to solenoid activated pneumatic piston. • Imaging system with a trap door removal system. • Imaging system which controls a robotic removal arm. • Tilted conveyor belt which separates good and bad pickles based on rolling characteristics.
Concept Evaluation • - Imaging/Pneumatic System: • Most Promising; Is equally good with Effectiveness and Speed. Cost currently unknown. • - Imaging/Trap Door System: • Similar to system above, lags behind in Effectiveness and Speed. • - Imaging/Robotic Arm System: • Cost prohibitive if Speed Target Value is to be met. Also, more moving parts may decrease Reliability. • - Rolling Method: • Fails Effectiveness, Speed Metrics; Has been ruled out.
Closing Points • Metrics Derived From Wants • Benchmarks Evaluated Using Metrics • Initial Concepts Evaluated Using Metrics • Progress and Looking Ahead