Combining radial basis function neural network and genetic algorithm to improve HDD driver IC chip scale package assembly yield

نویسندگان

  • M. L. Huang
  • Y. H. Hung
چکیده

In recent years, the future trend of micro HDD driver IC for large capacity micro HDD is to become lighter, thinner, shorter and smaller. Among all the options available for micro HDD driver IC’s assembly, warpage is an important issue related to micro HDD driver IC manufacturability and reliability. The optimal packaging manufacturing process for driver IC for micro HDD is chip scale package (CSP). However, the production and assemble process for CSP is much more difficult. The aim of this study is to improve the lower warpage properties for 0.65 mm CSP assembly yield using a model based on a radial basis function network (RBFN), and the optimal HDD packaging process parameter design is achieved through a genetic algorithm (GA). 2006 Elsevier Ltd. All rights reserved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimal process parameters design for a wire bonding of ultra-thin CSP package based on hybrid methods of artificial intelligence

Purpose – The aim of this research is to combine the Taguchi method and hybrid methods of artificial intelligence, to use them as the optimal tool in wire bond designing parameters for an ultra-thin chip scale package (CSP) package, and then construct a set of the optimal parameter analysis flow and steps. Design/methodology/approach – The hybrid methodology of artificial Intelligence was used ...

متن کامل

An Optimal Process Parameters prediction model for Wire Bonding of Ultra-Thin CSP Package Based on Hybrid Methods of Artificial Intelligence

This research combined the Taguchi method and artificial intelligence methods, used them as the prediction tool in wire bond designing parameters for an Ultra-Thin CSP package, and then constructed a set of the optimal parameter analysis flow and steps. This paper employed desirability function to integrate two quality characteristics (loop height and wire pull strength) into a single quality i...

متن کامل

Comparing Two Methods of Neural Networks to Evaluate Dead Oil Viscosity

Reservoir characterization and asset management require comprehensive information about formation fluids. In fact, it is not possible to find accurate solutions to many petroleum engineering problems without having accurate pressure-volume-temperature (PVT) data. Traditionally, fluid information has been obtained by capturing samples and then by measuring the PVT properties in a laboratory. In ...

متن کامل

Optimizing the controller IC for micro HDD process based on Taguchi methods

The future trend of controller integrated circuit (IC) for micro hard disk driver (HDD) is to be lighter, thinner, shorter and smaller. The storage capacity and unit cost of micro HDD is lower than of flash memory card. The optimal packaging manufacturing process for driver IC for micro HDD is Chip Scale Package (CSP). However, the production and assemble process for CSP is much more difficult....

متن کامل

Adaptive fuzzy sliding mode and indirect radial-basis-function neural network controller for trajectory tracking control of a car-like robot

The ever-growing use of various vehicles for transportation, on the one hand, and the statistics ofsoaring road accidents resulting from human error, on the other hand, reminds us of the necessity toconduct more extensive research on the design, manufacturing and control of driver-less intelligentvehicles. For the automatic control of an autonomous vehicle, we need its dynamic...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Expert Syst. Appl.

دوره 34  شماره 

صفحات  -

تاریخ انتشار 2008