Browse Prior Art Database

Selective Part Processing

IP.com Disclosure Number: IPCOM000016546D
Original Publication Date: 2003-Jun-27
Included in the Prior Art Database: 2003-Jun-27
Document File: 1 page(s) / 35K

Publishing Venue

IBM

Abstract

Sequential laminate processing of an array of parts within a larger form factor or panel typically results in inefficient utilization of tool capacity in that all parts, good or bad, are traditionally processed. Alternatively, selective processing of known good images/parts, as determine by lower level test or inspection processes, within a panel of parts allows for only the processing of only good images/parts. This in turn reduces part cost and capital equipment investment through more efficient tool utilization. In order to implement this technique, data for lower level build test and inspection is fed forward through a database, for a given panel, for data driven operations such as drill, test, and optical inspection. Only those parts deemed previously good receive additional value add from these operations.

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Selective Part Processing

   Selective processing of known good images/parts within a panel of parts reduces part cost and capital equipment investment through more efficient tool utilization. It has traditionally solved through parallel processing where sub-levels of the part are individually tested and passed or scrapped. Those parts that pass will subsequently be used to build a composite panel. This technique is very inefficient for multi-layer mutli-up panels. A product, such as HyperBGA, is difficult to build in a parallel manner. The body of invention is the development of a database which is used to identify scrap during the lower level sequential processing then automatically creates custom data/programs for each part within a job of parts. Parts deemed previously bad will be omitted from the new data set and will not be processed.

Disclosed by International Business Machines Corporation

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