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NCDA: Pickle Sorter Project Proposal Project 98.09 Sponsored by Ed Kee of Keeman Produce, Lincoln, DE
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2 Overview Introduction –Description of Problem Method –Wants Metrics Concepts –System and Functional Benchmarking Schedule –Division of labor –Budget
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3 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.
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Schematic
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5 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.
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6 Customers and Wants
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7 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.
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8 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
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9 Target Values
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10 System Benchmarks
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11 Functional Benchmarks
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12 Concept Generation Concepts –Brainstorming Identification: –Imaging –Mechanical Removal: –Pneumatic –Mechanical –Benchmarking Systems: –Bacchus –Aweta Functional: –Ensco –SensoRx –ELOP –Staalkat B.V.
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13 Concepts 1Imaging system coupled to solenoid activated pneumatic piston. 2Imaging system with a trap door removal system. 3Imaging system which controls a robotic removal arm. 4Tilted conveyor belt which separates good and bad pickles based on rolling characteristics.
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14 Concept Evaluation 1- Imaging/Pneumatic System: Most Promising; Is equally good with Effectiveness and Speed. Cost currently unknown. 2- Imaging/Trap Door System: Similar to system above, lags behind in Effectiveness and Speed. 3- Imaging/Robotic Arm System: Cost prohibitive if Speed Target Value is to be met. Also, more moving parts may decrease Reliability. 4- Rolling Method: Fails Effectiveness, Speed Metrics; Has been ruled out.
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15 Division of Work
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Progress To Date:
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Schedule To Next Presentation:
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18 Estimated Budget
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19 Closing Points Metrics Derived From Wants Benchmarks Evaluated Using Metrics Initial Concepts Evaluated Using Metrics Progress and Looking Ahead
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