Analysis of Wedge Tool Wear-Out by Machine Data

Analysis of Wedge Tool Wear-Out by Machine Data

Analysis of wedge tool wear-out by machine data IMAPS Advanced Technology Workshop & Tabletop Exhibition on Wire Bonding Felix Klingert1, Martin Schellenberger1, Klaus Pressel2, Michael Brueggemann2 1 Fraunhofer Institute for Integrated Systems and Device Technology IISB 2 Infineon Technology AG E-Mail: [email protected] Page 1 Felix Klingert IMAPS Wire Bonding 2016 Agenda I. Introduction: Bonding and statistics II. Analysis: Wedge wear-out III. Summary and outlook Page 2 Felix Klingert IMAPS Wire Bonding 2016 Introduction Infineon Regensburg and Fraunhofer IISB in EPPL „Advanced process control” (APC) in the backend Cooperation in the European project: “Enhanced Power Pilot Line” (EPPL) Page 3 Felix Klingert IMAPS Wire Bonding 2016 Introduction Potentials for APC in backend processes Outlook: 1. Potentials for APC in Backend processes: APC used APC in development Focus Backend processes [Ref.1] Page 4 Felix Klingert IMAPS Wire Bonding 2016 Introduction Wedge-wedge wire bonding . Ultrasonic welding process paste wire glue pad . Wire: Aluminum, 500 µm diameter . Pad: Aluminum . Leadframe: Copper leadframe . Bonding time: ~ 200 ms [Ref. 2] Page 5 Felix Klingert IMAPS Wire Bonding 2016 Introduction Wedge tool 1 2 Main parameters: . Bond force: F 3 N . Bond power: USP (Ultrasonic power) . Bond time [Ref. 3] Page 6 Felix Klingert IMAPS Wire Bonding 2016 Introduction Bonding quality by trace parameters . Process parameters: . Maximal current [mA] . Mean End Current avg. [mA] . Deformation [µm] Relate to each other! . Quality parameters . Pull test [N] . Shear test [N] . Wedge height [µm] . Wedge width [µm] Page 7 Felix Klingert IMAPS Wire Bonding 2016 Introduction Bonding quality by trace parameters . Keynumber: Maximal current [Ref. 3] Page 8 Felix Klingert IMAPS Wire Bonding 2016 Introduction [Ref. 4] Box plot Statistics Median . Box plot Median Quantiles (Q1 and Q3) IQR . Statistics: Box plot . Statistics: Mean Standard deviation σ Mean Page 9 Felix Klingert IMAPS Wire Bonding 2016 Introduction Boxplot Statistics (1) (2) (3) [Ref. 5] Page 10 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Project objective Detect and predict wedge wear-out to establish a controlled maintenance (Predictive Maintenance (PdM)) Status quo: . Cleaning cycles: Cleaning after fixed number of bonds . Disposal of tool after fixed number of cleaning cycles (Preventive Maintenance (PM)) [Ref. 6] Page 11 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Project idea by trace parameter observation Project idea: . Measurement indicated strong statistical increase between ? cleaning cycle: 1 vs. nfinal . Is this an indication of wedge wear-out? . Do we exchange wedges too late? (Detection: Quality parameters?) Sketch: No real data used! . Can a systematic trend be 1 nfinal determined? cleaning cycles Page 12 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Deployment . 12 wedges from cleaning cycle: 1, 2, ... nfinal . Process parameters: Maximum Current Mean End Current Wedge deformation . Quality parameters: Pull test Sketch: No real data used! Shear test Wedge height 1 nfinal Wedge width cleaning cycles Page 13 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Result for Maximum current . No statistical average increase for 12 wedges . No indication of wear-out . Wedges are not exchanged too late Sketch: No real data used! 1 nfinal cleaning cycles Page 14 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Result for Maximum current Pre-project observation Project observation Why? Sketch: No real data used! Sketch: No real data used! 1 nfinal 1 nfinal cleaning cycles cleaning cycles Page 15 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Basic statistical analyis . Strong value variations between cleaning cycles . Mathematics: Δ Median Δ Median ... ... Δ Medianmax = Mediann,max – Mediann Mediann,min Sketch: No real data used! with n=[1, nfinal] 1 n n+1 cleaning cycles Page 16 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Basic statistical analyis . Strong value variations within cleaning cycles . Mathematics: 퐈퐐퐑n 횫 퐈퐐퐑n,n+1 ... Δ IQR = 횫 퐈퐐퐑n,n+1 max IQRn,max – IQRn,min ퟐ Sketch: No real data used! with n=[1, nfinal] 1 n n+1 nfinal cleaning cycles Page 17 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Process parameters: Maximum Current Parameter Statistical keynumber [%] Unit: Percent of Maximum current Δ Medianmax / Median the statistic Maximum current Δ IQR / Median max value on the absolute value (Median) All values from one representative wedge. All values rounded. [Ref. 3] Page 18 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Process parameters: Maximum Current Keynumber Statistic description [%] Maximum current Δ Medianmax / Median 31.6 Maximum current Δ IQRmax / Median 5.5 All values from one representative wedge. All values rounded. [Ref. 3] Page 19 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Process parameters: Mean End Current [Ref. 3] Page 20 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Process parameters: Mean end Current Parameter Statistical keynumber [%] Maximum current Δ Medianmax / Median 31.6 Maximum current Δ IQRmax / Median 5.5 Mean End current Δ Medianmax / Median 17.4 Mean End current Δ IQRmax / Median 7.1 All values from one representative wedge. All values rounded. Page 21 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Process parameters: Deformation [Ref. 3] Page 22 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Process parameters: Deformation Parameter Statistical keynumber [%] Maximum current Δ Medianmax / Median 31.6 Maximum current Δ IQRmax / Median 5.5 Mean End current Δ Medianmax / Median 17.4 Mean End current Δ IQRmax / Median 7.1 Deformation Δ Medianmax / Median 18.8 Deformation Δ IQRmax / Median 6.9 All values from one representative wedge. All values rounded. Page 23 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Quality parameters: Pull test [Ref. 7] Parameter Statistical keynumber [%] Pull test Δ Medianmax / Median 7.1 Pull test Δ IQRmax / Median 9.6 All values from one representative wedge. All values rounded. Page 24 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Quality parameters: Shear test [Ref. 7] Parameter Statistical keynumber [%] Pull test Δ Medianmax / Median 7.1 Pull test Δ IQRmax / Median 9.6 Shear test Δ Medianmax / Median 37.5 Shear test Δ IQRmax / Median 23.6 All values from one representative wedge. All values rounded. Page 25 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Quality parameters: [Ref. 6] Wedge height Wedge height Parameter Statistical keynumber [%] Pull test Δ Medianmax / Median 7.1 Pull test Δ IQRmax / Median 9.6 Shear test Δ Medianmax / Median 37.5 Shear test Δ IQRmax / Median 23.6 Wedge height Δ Medianmax / Median 10.8 Wedge height Δ IQRmax / Median - All values from one representative wedge. All values rounded. Page 26 Felix Klingert IMAPS Wire Bonding 2016 Analysis: Wedge wear-out Quality parameters: [Ref. 6] Wedge width Wedge width Parameter Statistical keynumber [%] Pull test Δ Medianmax / Median 7.1 Pull test Δ IQRmax / Median 9.6 Shear test Δ Medianmax / Median 37.5 Shear test Δ IQRmax / Median 23.6 Wedge height Δ Medianmax / Median 10.8 Wedge height Δ IQRmax / Median - Wedge width Δ Medianmax / Median 4.0 Wedge width Δ IQRmax / Median - All values from one representative wedge. All values rounded. Page 27 Felix Klingert IMAPS Wire Bonding 2016 Summary and outlook Summary - Wedge Wear-out Results: . Wedge wear-out not significant factor in available measurements . Indication of different important factors . Wedge change and cleaning has significant influence . Wedges can be used longer - Test measurements with longer cycles have started (Aluminum plates and leadframes are used!) Page 28 Felix Klingert IMAPS Wire Bonding 2016 Summary and outlook Summary - Connected topics . Finding correlations between process parameters and the main influences on bonding system (for example clamping) . Choosing the right bonding parameters (power, force and time) to achieve the optimal performance . Exploring further methods to generate quality parameters in a manufacturing environment Page 29 Felix Klingert IMAPS Wire Bonding 2016 Summary and outlook Outlook - Potentials for APC in backend processes Outlook: 1. Potentials for APC in Backend processes: APC used APC in development Focus Backend processes The integrated circuit fabrication steps from the silicon wafer to the chip. [Ref.1] Page 30 Felix Klingert IMAPS Wire Bonding 2016 Analysis of wedge tool wear-out by machine data Felix Klingert, Fraunhofer IISB E-Mail: [email protected] A part of the work has been performed in the project EPPL, co-funded by grants from Austria, Germany, The Netherlands, Italy, France, Portugal- ENIAC member States and the ENIAC Joint Undertaking. Thank you for your attention! Questions? Page 31 Felix Klingert IMAPS Wire Bonding 2016 Literature 1. Integrated circuit fabrication steps; NXP Semiconductors N.V.; Titel: “How we make semiconductors” (2014) 2. Interconnected chip; A. Klemmt; Dissertation: “ Ablaufplanung in der Halbleiter- und Elektronikproduktion”; ISBN 978-3-8348-1993-2 3. Bonding process of equipment output parameters; Kulicke & Soffa Industries; Manual: 7200 Wire Bonder Programmer Guide (Document Number: D-95295, Version 6.7) 4. Sketch: Sketch: http://www.comfsm.fm/~dleeling/statistics/text5.html 5. Measurement and analysis data; Infineon Technologies AG and Fraunhofer IISB 6. Sketch of pull and shear test; Nordson DAGE; Website: http://www.azom.com/article.aspx?ArticleID=11678 Page 32 Felix Klingert IMAPS Wire Bonding 2016 .

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