Through-Sapphire Via Filling Process Development for Backside Interconnect and Chip Stacking and Front-to-Back Daisy Chain Chip

2014 ◽  
Vol 2014 (DPC) ◽  
pp. 001422-001434
Author(s):  
Syed Sajid Ahmad ◽  
Fred Haring ◽  
Aaron Reinholz ◽  
Nathan Schneck

With increasing need for electronic systems miniaturization to provide greater functionality in hand-held devices, through-sapphire via paves a way for the greater densification of silicon-on-sapphire devices and systems. Evaluations of two laser systems for via drilling in blank and device sapphire are outlined. Designed experiments were conducted to optimize the process and to minimize sapphire-via parasites (debris and heat-affected zone). Optical and electron microscope observations and measurements were conducted. Effects of varying via drilling techniques were evaluated for via shape and amount of parasitic effects. Laser via-drilling parameters were also evaluated for their effect on via quality. Results of the study show that acceptable through-sapphire via can be achieved and the parasites minimized with the selection of proper equipment and optimization of the drilling process.

2012 ◽  
Vol 248 ◽  
pp. 20-25
Author(s):  
Abolfazl Golshan ◽  
Danial Ghodsiyeh ◽  
Soheil Gohari ◽  
Amran Bin Ayob ◽  
B.T. Hang Tuah Baharudin

Proper selection of drilling parameters is one of the significant challenges in drilling process. In this study, a new method for selection of optimal machining parameters during drilling operation is investigated. The present study deals with multiple-performance optimization of machining characteristics during drilling of 7075 aluminum alloy. The most commonly-used material in aerospace industry is aluminum alloy with zinc as the primary alloying element. The drilling parameters used for this experiment include cutting speed, feed rate and drill diameter while the two output parameters are surface roughness and dimension error. These outputs are specified to be optimized as a measure of process performance. The statistical model is generated from linear polynomial equations which are developed from different output responses when the machining parameters are changed. The Non-dominated Sorting Genetic Algorithm optimization results show high performance in solving the present problem.


Author(s):  
Sona Azarrang ◽  
Hamid Baseri

The drilling of metals produces undesired raised material which is defined as burr. It is important to minimize the burr size by modifying the drill geometry or selection of drilling parameters. Although, selection of optimal drilling parameters can be minimize the burr size, but it may be increases the overcut or decreases the material removal rate (MRR). In this paper, drilling parameters have been selected for minimal burr size and desired overcut and MRR. Four adaptive neuro fuzzy inference system (ANFIS) models have been designed based on experimental observation in drilling of copper. Outputs of ANFIS models are burr height, burr thickness, burr type and overcut of hole; While input parameters of drilling process are cutting speed, tool diameter and ratio of feed rate to diameter. Then the particle swarm optimization method has been used to select the optimum condition of input parameters to minimize the burr size in desired value of overcut and MRR. Results showed that the proposed models can be predict the outputs well and they can be used as adequate predictors and optimizer for achieving the drilling parameters which gives a type of burr with low value of burr height and burr thickness with desirable overcut and MRR.


2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Qiang Fang ◽  
Ze-Min Pan ◽  
Bing Han ◽  
Shao-Hua Fei ◽  
Guan-Hua Xu ◽  
...  

Drilling carbon fiber reinforced plastics and titanium (CFRP/Ti) stacks is one of the most important activities in aircraft assembly. It is favorable to use different drilling parameters for each layer due to their dissimilar machining properties. However, large aircraft parts with changing profiles lead to variation of thickness along the profiles, which makes it challenging to adapt the cutting parameters for different materials being drilled. This paper proposes a force sensorless method based on cutting force observer for monitoring the thrust force and identifying the drilling material during the drilling process. The cutting force observer, which is the combination of an adaptive disturbance observer and friction force model, is used to estimate the thrust force. An in-process algorithm is developed to monitor the variation of the thrust force for detecting the stack interface between the CFRP and titanium materials. Robotic orbital drilling experiments have been conducted on CFRP/Ti stacks. The estimate error of the cutting force observer was less than 13%, and the stack interface was detected in 0.25 s (or 0.05 mm) before or after the tool transited it. The results show that the proposed method can successfully detect the CFRP/Ti stack interface for the cutting parameters adaptation.


2021 ◽  
Author(s):  
Andrey Alexandrovich Rebrikov ◽  
Anton Anatolyevich Koschenkov ◽  
Anastasiya Gennadievna Rakina ◽  
Igor Dmitrievich Kortunov ◽  
Nikita Vladimirovich Koshelev ◽  
...  

Abstract Currently, production and exploration drilling has entered a stage of development where one of the highest priority goals is to reduce the time for well construction with new technologies and innovations. One of the key components in this aspect is the utilizing of the latest achievements in the design and manufacture of rock cutting tools – drill bits. This article presents some new ideas on methods for identifying different types of vibrations when drilling with PDC bits using a system of sensors installed directly into the bit itself. In the oil and gas fields of Eastern Siberia, one of the main reasons for ineffective drilling with PDC bits are vibrations, which lead to premature wear of the cutting structure of the bit and the achievement of low ROPs in the dolomite and dolerite intervals. For efficient drilling of wells of various trajectories with a bottom hole assembly (BHA), including a downhole motor (PDM) and a PDC bit, special attention is paid to control of the bit by limiting the depth of cut, as well as the level of vibrations that occur during drilling process. Often, the existing complex of surface and BHA equipment fails to identify vibrations that occur directly on the bit, as well as to establish the true cause of their occurrence. Therefore, as an innovative solution to this problem, a system of sensors installed directly into the bit itself is proposed. The use of such a system makes it possible to determine the drilling parameters, differentiated depending on the lithological properties of rocks, leading to an increase in vibration impact. Together with the Operators, tests have been successfully carried out, which have proven the effectiveness of the application of this technology. The data obtained during the field tests made it possible to determine the type and source of vibration very accurately during drilling. In turn, this made it possible to precisely adjust the drilling parameters according to the drilled rocks, to draw up a detailed road map of effective drilling in a specific interval. Correction of drilling parameters based on the analysis of data obtained from sensors installed in the bit made it possible to reduce the resulting wear of the PDC bit cutting structure and, if necessary, make changes to the bit design to improve the technical and economic indicators. Thus, the use of a system of sensors for measuring the drilling parameters in a bit ensured the dynamic stability of the entire BHA at the bottomhole when drilling in rocks of different hardness, significantly reduced the wear of the drilling tools and qualitatively improved the drilling performance.


2016 ◽  
pp. 93-96
Author(s):  
V. P. Ovchinnikov ◽  
A. F. Semenenko ◽  
P. V. Ovchinnikov

The method of reducing the number of ingredients in the composition of the solution was proposed. Cost reduction for preparation of drilling fluid was analyzed, improved conditions for the control and management of its parameters. The 12 most effective polymers were recommended to be implemented..The simplicity of the algorithm above process is not particularly difficult. Based on this, special software might be created for using in design institutes and educational institutions.


2018 ◽  
Vol 25 (6) ◽  
pp. 1205-1217
Author(s):  
Gong Dong Wang ◽  
Nan Li ◽  
Tian Peng ◽  
Ying Chi Li ◽  
Xu Hai Xiong ◽  
...  

AbstractThe drilling process of carbon fiber reinforced plastics (CFRP) is the main secondary processing in the entire production cycle. However, there is no standard theory that could be used to estimate the hole quality and to quantify the assessment. Therefore, in this article, several influential factors of drilling quality, such as drilling parameters and materials, were utilized to establish the classification tree model. A comprehensive evaluation model [three-dimensional (3D) evaluation factor] was presented to measure and quantify the quality of the hole. Then a series of experiments were designed based on existing conditions. Further, a mathematical software (Origin) was used to fit and analyze the relationships of the drilling parameters and the 3D evaluation factor. Then a user-friendly drilling database system of CFRP was established based on the historical data of drilling experiments and the fitting function. In addition, in order to contrast the optimization results of the fitting function, the drilling experiments have been conducted, and the results have verified that the drilling database system could optimally predict the drilling schemes with a minor error.


Author(s):  
Magnus Nystad ◽  
Bernt Aadnoy ◽  
Alexey Pavlov

Abstract The Rate of Penetration (ROP) is one of the key parameters related to the efficiency of the drilling process. Within the confines of operational limits, the drilling parameters affecting the ROP should be optimized to drill more efficiently and safely, to reduce the overall cost of constructing the well. In this study, a data-driven optimization method called Extremum Seeking (ES) is employed to automatically find and maintain the optimal Weight on Bit (WOB) which maximizes the ROP. The ES algorithm is a model-free method which gathers information about the current downhole conditions by automatically performing small tests with the WOB and executing optimization actions based on the test results. In this paper, this optimization method is augmented with a combination of a predictive and a reactive constraint handling technique to adhere to operational limitations. These methods of constraint handling within ES application to drilling are demonstrated for a maximal limit imposed on the surface torque, but the methods are generic and can be applied on various drilling parameters. The proposed optimization scheme has been tested with experiments on a downscaled drilling rig and simulations on a high-fidelity drilling simulator of a full-scale drilling operation. The experiments and simulations show the method's ability to steer the system to the optimum and to handle constraints and noisy data, resulting in safe and efficient drilling at high ROP.


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