Ultrasonic System Normalization on Wedge Bonders

2016 ◽  
Vol 2016 (1) ◽  
pp. 000433-000437
Author(s):  
Omid Niayesh ◽  
Vaughn Svendsen ◽  
Raymond Chen ◽  
Jason Fu ◽  
Henri Seppaenen ◽  
...  
Keyword(s):  
Shear Strength ◽  
Case Studies ◽  
Normalization Procedure ◽  
Process Outcomes ◽  
Input Parameters ◽  
Automated Procedures ◽  
Deformation Measurements ◽  
Bond Deformation

Abstract Operators of ultrasonic wedge bonders desire that bonders using the same process inputs achieve identical process outputs. In practice, it has been found that process outputs can differ between bonders operating with the same inputs. A common practice to bring the performance of bonders into closer agreement is to make small adjustments to the input parameters. These adjustments are looked upon unfavorably because they are typically determined using non-standardized, non-automated procedures, and further, the process inputs for each bonder then need to be tracked separately. Therefore, there is a strong desire to normalize the performance of one bonder to another using an automated procedure. This paper presents a method to normalize the performance of a number of bonders based upon bond deformation measurements taken automatically by the bonder. Several case studies are presented that demonstrate the effectiveness of this normalization procedure in improving the similarity of process outcomes across a group of bonders. The results show that bonders after Ultrasonic Normalization make bonds with more similar end deformation, shear strength and bond width than the bonders before Ultrasonic Normalization.

SAMS: Stochastic Analysis With Minimal Sampling—A Fast Algorithm for Analysis and Design Under Uncertainty

2004 ◽  
Vol 127 (4) ◽  
pp. 558-571 ◽  
Author(s):  
A. Mawardi ◽  
R. Pitchumani
Keyword(s):  
System Performance ◽  
Stochastic Analysis ◽  
Sampling Method ◽  
Latin Hypercube Sampling ◽  
Analysis And Design ◽  
Process Outcomes ◽  
Input Parameters ◽  
Computationally Intensive ◽  
Uncertain Input ◽  
Reliability And Robustness

Design of processes and devices under uncertainty calls for stochastic analysis of the effects of uncertain input parameters on the system performance and process outcomes. The stochastic analysis is often carried out based on sampling from the uncertain input parameters space, and using a physical model of the system to generate distributions of the outcomes. In many engineering applications, a large number of samples—on the order of thousands or more—is needed for an accurate convergence of the output distributions, which renders a stochastic analysis computationally intensive. Toward addressing the computational challenge, this article presents a methodology of S̱tochastic A̱nalysis with M̱inimal S̱ampling (SAMS). The SAMS approach is based on approximating an output distribution by an analytical function, whose parameters are estimated using a few samples, constituting an orthogonal Taguchi array, from the input distributions. The analytical output distributions are, in turn, used to extract the reliability and robustness measures of the system. The methodology is applied to stochastic analysis of a composite materials manufacturing process under uncertainty, and the results are shown to compare closely to those from a Latin hypercube sampling method. The SAMS technique is also demonstrated to yield computational savings of up to 90% relative to the sampling-based method.

scholarly journals Hybridized Deep Learning Model for Perfobond Rib Shear Strength Connector Prediction

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Jamal Abdulrazzaq Khalaf ◽  
Abeer A. Majeed ◽  
Mohammed Suleman Aldlemy ◽  
Zainab Hasan Ali ◽  
Ahmed W. Al Zand ◽  
...  
Keyword(s):  
Neural Network ◽  
Shear Strength ◽  
Deep Learning ◽  
Structural Engineering ◽  
Major Influence ◽  
Support Vector ◽  
Optimization Approach ◽  
Tree Model ◽  
Input Parameters ◽  
Deep Learning Neural Network

Accurate and reliable prediction of Perfobond Rib Shear Strength Connector (PRSC) is considered as a major issue in the structural engineering sector. Besides, selecting the most significant variables that have a major influence on PRSC in every important step for attaining economic and more accurate predictive models, this study investigates the capacity of deep learning neural network (DLNN) for shear strength prediction of PRSC. The proposed DLNN model is validated against support vector regression (SVR), artificial neural network (ANN), and M5 tree model. In the second scenario, a comparable AI model hybridized with genetic algorithm (GA) as a robust bioinspired optimization approach for optimizing the related predictors for the PRSC is proposed. Hybridizing AI models with GA as a selector tool is an attempt to acquire the best accuracy of predictions with the fewest possible related parameters. In accordance with quantitative analysis, it can be observed that the GA-DLNN models required only 7 input parameters and yielded the best prediction accuracy with highest correlation coefficient (R = 0.96) and lowest value root mean square error (RMSE = 0.03936 KN). However, the other comparable models such as GA-M5Tree, GA-ANN, and GA-SVR required 10 input parameters to obtain a relatively acceptable level of accuracy. Employing GA as a feature parameter selection technique improves the precision of almost all hybrid models by optimally removing redundant variables which decrease the efficiency of the model.

A Rapid Manufacturing Method for Rectangular Splines Based on Laser Cutting and Welding

2021 ◽  
Vol 64 (1) ◽  
pp. 117-126
Author(s):  
Shenying Wang ◽  
Zhichao Hu ◽  
Fengwei Gu ◽  
Baoliang Peng ◽  
Youqing Chen ◽  
...  
Keyword(s):  
Shear Strength ◽  
Case Studies ◽  
Laser Cutting ◽  
Average Power ◽  
Rapid Manufacturing ◽  
Agricultural Machinery ◽  
Heavy Load ◽  
Manufacturing Method ◽  
Light Load ◽  
Load Conditions

HighlightsA rapid manufacturing method for internal and external rectangular spline shafts for use in agricultural machinery was developed using a combination of laser cutting and welding.The shear strength of the internal spline welds, extrusion strength of the spline tooth surfaces, and extrusion and shear strength of the external spline pins were tested.Threshold values were obtained for the average diameter of the internal and external splines.Two case studies (light load and heavy load) were performed to verify the feasibility and reliability of the method.Abstract. In recent years, special-sized spline shafts and gears have been widely used in the trial production of new agricultural machinery in China. However, due to the high production cost and long development cycle of these common components, the development of new agricultural machinery has been affected. To solve these problems, this article proposes a method for rapid manufacturing of rectangular internal and external splines using a combination of laser cutting and welding. Through analysis of the weld shear strength of the internal splines, the extrusion strength of the spline tooth surfaces, and the extrusion and shear strength of the external spline pins, it was calculated that the threshold of the average diameter (dm) of the internal splines, commonly used in agricultural machinery, was dm = 31.17 mm, and that of the external splines was dm = 33.45 mm. The feasibility and reliability of the method were verified with two case studies using light and heavy load conditions. The light load case study was the splines of the power input shaft of the pickup platform of a peanut harvester, and the heavy load case study was the splines of the total power input shaft of a peanut no-till planter. The case studies indicated that under the light load conditions (average power of 1.13 kW, average torque of 64.1 N·m, average speed of 168.7 rpm, cumulative working time of 48 h, and harvested area of 46.4 ha) and heavy load conditions (average power of 89.36 kW, average torque of 1029.9 N·m, average speed of 828.6 rpm, cumulative working time of 51.5 h, and planted area of 31.7 ha), no spline failure was observed, and the reliability was 100.0%. This article provides a technical reference for the rapid production of special-sized rectangular splines as single pieces or in small batches for trial production, which requires low processing accuracy, of new agricultural machinery products. Keywords: Agricultural machinery, Laser cutting, Manufacturing method, Rectangular spline, Strength test, Torque.

Penetration and uplift resistances of two interfering pipelines buried in clays

2021 ◽  
pp. 2150020
Author(s):  
Sorawit Seehavong ◽  
Suraparb Keawsawasvong
Keyword(s):  
Finite Element ◽  
Shear Strength ◽  
Limit Analysis ◽  
Failure Mechanisms ◽  
Ground Surface ◽  
Linear Increase ◽  
Unit Weight ◽  
Cohesive Soils ◽  
Input Parameters ◽  
Bearing Loads

The primary aim of this paper is to determine penetration and uplift resistances of two interfering pipelines buried in clay with a linear increase in strength. The advanced finite element limit analysis of upper and lower bound theorems is used to perform new limit analysis solutions for both penetration and uplift resistances of two interfering pipelines. The strength profiles of cohesive soils are the cases of normally consolidated clays in deep water by setting the shear strength at the ground surface to be zero and linearly increased with the depth. The twin pipelines have the same geometries and are simultaneously failed at the same magnitude of the failure uplift or bearing loads. There are three considered input parameters including the spacing between the pipes, the embedded depth of the pipes, and the unit weight of soils. All input parameters have significant influences on the penetration and uplift resistances of two interfering pipelines. Failure mechanisms of the problems are also investigated, and stability charts of the penetration and uplift resistances of two interfering pipelines are produced for practical uses in offshore geotechnical engineering.

scholarly journals Development of Advanced Computer Aid Model for Shear Strength of Concrete Slender Beam Prediction

2020 ◽  
Vol 10 (11) ◽  
pp. 3811
Author(s):  
Ahmad Sharafati ◽  
Masoud Haghbin ◽  
Mohammed Suleman Aldlemy ◽  
Mohamed H. Mussa ◽  
Ahmed W. Al Zand ◽  
...  
Keyword(s):  
Shear Strength ◽  
Fuzzy Inference ◽  
High Strength ◽  
Maximum Size ◽  
Inference System ◽  
Input Parameters ◽  
Initial Dataset ◽  
Effective Depth ◽  
Dimensional Parameters ◽  
The Impact

High-strength concrete (HSC) is highly applicable to the construction of heavy structures. However, shear strength (Ss) determination of HSC is a crucial concern for structure designers and decision makers. The current research proposes the novel models based on the combination of adaptive neuro-fuzzy inference system (ANFIS) with several meta-heuristic optimization algorithms, including ant colony optimizer (ACO), differential evolution (DE), genetic algorithm (GA), and particle swarm optimization (PSO), to predict the Ss of HSC slender beam. The proposed models were constructed using several input combinations incorporating several related dimensional parameters such as effective depth of beam (d), shear span (a), maximum size of aggregate (ag), compressive strength of concrete (fc), and percentage of tension reinforcement (ρ). To assess the impact of the non-homogeneity of the dataset on the prediction result accuracy, two possible modeling scenarios, (i) non-processed (initial) dataset (NP) and (ii) pre-processed dataset (PP), are inspected by several performance indices. The modeling results demonstrated that ANFIS-PSO hybrid model attained the best prediction accuracy over the other models and for the pre-processed input parameters. Several uncertainty analyses were examined (i.e., model, variables, and data), and results indicated predicting the HSC shear strength was more sensitive to the model structure uncertainty than the input parameters.

Use of backscattered electron image intensity signals to calculate the water/cement ratio of concrete

1992 ◽  
Vol 50 (1) ◽  
pp. 356-357
Author(s):  
R. J. Lee ◽  
A. J. Schwoeble ◽  
Yuan Jie
Keyword(s):  
Reliable Data ◽  
X Ray ◽  
Rapid Measurement ◽  
Trained Personnel ◽  
Electron Image ◽  
Backscattered Electron ◽  
Production Period ◽  
Strength And Durability ◽  
Automated Procedures ◽  
Standard Density

Water/Cement (W/C) ratio is a very important parameter affecting the strength and durability of concrete. At the present time, there are no ASTM methods for determining W/C ratio of concrete structures after the production period. Existing techniques involving thin section standard density comparative associations using light optical microscopy and rely on visual comparisons using standards and require highly trained personnel to produce reliable data. This has led to the exploration of other methods utilizing automated procedures which can offer a precise and rapid measurement of W/C ratio. This paper discusses methods of determining W/C ratio using a scanning electron microscope (SEM) backscattered electron image (BEI) intensity signal and x-ray computer tomography.

Corporate Sustainability: Challenge to Managerial Orthodoxies

2003 ◽  
Vol 9 (1) ◽  
pp. 2-11 ◽  
Author(s):  
Dexter Dunphy
Keyword(s):  
Case Studies ◽  
Corporate Sustainability ◽  
Central Place ◽  
Marked Contrast ◽  
Sustainability Management

ABSTRACTThis paper addresses the issue of corporate sustainability. It examines why achieving sustainability is becoming an increasingly vital issue for society and organisations, defines sustainability and then outlines a set of phases through which organisations can move to achieve increasing levels of sustainability. Case studies are presented of organisations at various phases indicating the benefits, for the organisation and its stakeholders, which can be made at each phase. Finally the paper argues that there is a marked contrast between the two competing philosophies of neo-conservatism (economic rationalism) and the emerging philosophy of sustainability. Management schools have been strongly influenced by economic rationalism, which underpins the traditional orthodoxies presented in such schools. Sustainability represents an urgent challenge for management schools to rethink these traditional orthodoxies and give sustainability a central place in the curriculum.

Short-Form Application of the Screening Test of Spanish Grammar and the Northwestern Syntax Screening Test to Latino Children

1978 ◽  
Vol 9 (4) ◽  
pp. 220-235
Author(s):  
David L. Ratusnik ◽  
Carol Melnick Ratusnik ◽  
Karen Sattinger
Keyword(s):  
New York ◽  
Case Studies ◽  
Metropolitan Area ◽  
Screening Test ◽  
Normative Data ◽  
Short Form ◽  
Latino Children ◽  
Data Application ◽  
York Metropolitan Area ◽  
Multiple Regression Technique

Short-form versions of the Screening Test of Spanish Grammar (Toronto, 1973) and the Northwestern Syntax Screening Test (Lee, 1971) were devised for use with bilingual Latino children while preserving the original normative data. Application of a multiple regression technique to data collected on 60 lower social status Latino children (four years and six months to seven years and one month) from Spanish Harlem and Yonkers, New York, yielded a small but powerful set of predictor items from the Spanish and English tests. Clinicians may make rapid and accurate predictions of STSG or NSST total screening scores from administration of substantially shortened versions of the instruments. Case studies of Latino children from Chicago and Miami serve to cross-validate the procedure outside the New York metropolitan area.

Case Studies for Telepractice in AAC

2014 ◽  
Vol 23 (1) ◽  
pp. 42-54 ◽  
Author(s):  
Tanya Rose Curtis
Keyword(s):  
Service Delivery ◽  
Case Studies ◽  
Eye Gaze ◽  
Cognitive Impairments ◽  
Perceived Barriers ◽  
Computer Experience ◽  
Access Methods ◽  
Complex Communication Needs ◽  
Barriers To Service ◽  
Communication Needs

As the field of telepractice grows, perceived barriers to service delivery must be anticipated and addressed in order to provide appropriate service delivery to individuals who will benefit from this model. When applying telepractice to the field of AAC, additional barriers are encountered when clients with complex communication needs are unable to speak, often present with severe quadriplegia and are unable to position themselves or access the computer independently, and/or may have cognitive impairments and limited computer experience. Some access methods, such as eye gaze, can also present technological challenges in the telepractice environment. These barriers can be overcome, and telepractice is not only practical and effective, but often a preferred means of service delivery for persons with complex communication needs.

Sign in / Sign up

Export Citation Format

Share Document