Image processing of Casting defects based on Convolutional neural network

At present, there are numerous losses caused by corrosion cracking of metal castings in engineering in China. In order to detect the possible defects of metal castings in engineering, the laser ultrasonic vision inspection technology is used to image the castings, and then the identification efficiency is low. In order to process these images efficiently and quickly, convolutional neural network image processing technology is introduced. According to the actual needs, a convolutional neural network architecture is designed to recognize images, and whether the architecture meets the requirements is verified. Experimental results show that the performance of the architecture meets the design requirements. Under the same conditions, this structure provides a solution for casting defect detection combined with artificial intelligence.

Biscuit Thickness Validation (HPDC)

Thank you very much; I am bharat sharma founder of steady die casting solutions. This time I have found one more solution for biscuit thickness validation in high pressure die casting. In this paper we will discuss, what is biscuit thickness?, why we need to identify right biscuit thickness?, how we can validate right biscuit thickness? and effect of biscuit thickness variation. This paper is all about to clear all myth to calculate biscuit thickness in high pressure die casting. This is very serious business when we are calculating biscuit thickness to avoid casting defect. Through this paper I would like to share this knowledge and I hope it will helpful to others. “Keep learning till death “. Keywords: (Biscuit thickness, plunger, hpdc, die casting, casting defect, solidification)

Flash Prevention in HPDC

Welcome to steady die casting solutions. We are at steady die casting solutions keep on continue to give die casting solutions. In this paper we will discuss how we can predict flash location in die and how we can correct before die making or after die making. We also discuss how we can calculate individual tie bar load when we load a die, tie bar load will change on each die changeover because of it’s center of gravity. We discuss how casting shot centroid will effect tie bar load which directly responsible for flash. All this things we try to explain with an example, I hope it will be help full. Thank you very much, “keep learning till death”. Keywords: Flash, tie bar, machine tonnage, machine center, die, hpdc, casting defect and clamping force

Minimization of Casting Defects using SQC Tool

Casting is most widely used manufacturing technique. During casting process, number of defects in the casting takes place. In this research, Statistical Quality Control tool is used to minimize the defects. Paretro analysis technique is used to find out the defects in the castings. Recommendations are implemented in the casting line. Improved quality of casting and reduction of defects are found after the implementation of SQC tool. Keywords: Casting, Defect, Why-Why analysis, Shift, Manifold

Evaluation of Optimum Parameters for Casting of Birla Lance Pipes

Defects associated with casting of pipes are often a main concern for the industry. In this chapter, a Taguchi analysis is carried out to understand the effect of three process parameter pouring temperature (°C), die spinning speed (rpm), and coolant flow time (mins) on the casting defect of pipes. The defect is defined in this work as the difference between the desired thickness of the pipe and the minimum actual (experimentally) achieved. A L9 orthogonal array is designed to carry out the experiments. Based on the S/N ratio analysis and ANOVA, it is seen that the die spinning speed plays the most critical role in defect of the pipes. As per the conducted experiments and Taguchi analysis, pouring temperature is seen to have the lest influence on the defects.