R
R.M.J. Voncken
Researcher at Philips
Publications - 5
Citations - 96
R.M.J. Voncken is an academic researcher from Philips. The author has contributed to research in topics: Wire bonding & Wafer dicing. The author has an hindex of 4, co-authored 5 publications receiving 90 citations.
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Journal ArticleDOI
Analysis of Cu/low-k bond pad delamination by using a novel failure index
TL;DR: A methodology for optimizing the thermo-mechanical reliability of bond pads by using a 3D multi-scale finite element approach using a novel energy-based failure index, which allows a fast qualitative comparison of different back-end structures.
Proceedings ArticleDOI
Analysis of Cu/low-k bond pad delamination by using a novel failure index
TL;DR: In this article, the authors present a methodology for optimizing the thermo-mechanical reliability of bond pads by using a 3D multi-scale finite element approach, which allows a fast qualitative comparison of different back-end structures.
Journal ArticleDOI
Simulation of arterial dissection by a penetrating external body using cohesive zone modelling
Christopher Noble,Olaf van der Sluis,R.M.J. Voncken,Oliver Burke,Steven Ernest Franklin,Roger Lewis,Zeike A. Taylor +6 more
TL;DR: This work study the dissection of arterial layers by means of a stiff, planar, penetrating external body (a 'wedge'), and formulate a novel model of the process using cohesive zone formalism, to assess the reliability of cohesive zone approaches in this context.
Proceedings ArticleDOI
Novel Damage Model for Delamination in Cu/low-k IC Backend Structures
TL;DR: In this paper, a methodology for optimizing the thermomechanical reliability of bond pads by using a 3D multi-level Finite Element approach is presented, which allows a fast qualitative comparison of different back-end structures.
Journal ArticleDOI
FlexMM: A standard method for material descriptions in FEM
TL;DR: This work proposes a flexible yet robust standardization approach, called FlexMM, for dealing with material data, constitutive models, measurement data or mathematical models to overcome part of the abovementioned complexity.