Technical Library | 2021-08-04 18:41:30.0
Industry 4.0 is one of the most exciting developments in the manufacturing industry in decades. It promises vast improvements for both manufacturers and their customers. For some companies, however, it can be overwhelming, and it can be difficult with the current available information to understand exactly what the benefits will be in the average factory, and to calculate the return on the investment. Therefore, it may be helpful to bring the discussion down to a tangible level and to isolate one little part of the whole smart electronic assembly factory, namely reflow.
Technical Library | 2021-09-15 18:58:01.0
Mathematical model for dynamic force analysis of printed circuit boards has been designed to calculate dynamic deformations and stresses in printed circuit boards and assess their dynamic strength and rigidity. The represented model describes a printed circuit board as a separate oscillatory system, which is simulated as prismatic beam set on two oscillating supports. Simulation and assessment of stress and deflection in printed circuit boards and obtaining their amplitude frequency responses provided recommendations, which ensure strength and stiffness of printed circuit boards subjected to dynamic loads..
Technical Library | 2021-12-28 01:34:06.0
PLC (Programmable Logic Controller) and VFD (Variable Frequency Drive) play an important role in industrial production and technological development. They have been widely used in the field of industrial automation and mechanical automation. The control of the PLC and VFD is quite intelligent and automated, which brings great convenience to industrial production and life. The PLC and VFD will perform intelligent calculation, control and output according to the predetermined program. Today we will focus on how the PLC and the VFD communicate, and in what ways? First, let's take a look at their respective basic structures.
Technical Library | 2014-05-22 17:10:37.0
In this paper, the general solution model of Chou has been used to predict the integral enthalpies of mixing of liquid In-Sn-Zn ternary alloys in five selected sections, xIn/xSn = 0.15/0.85, 0.34/0.66, 0.50/0.50, 0.67/0.33 and 0.85/0.15. The other traditional models such as Kohler, Muggianu, Toop and Hillert are also included in calculations. Comparison with literature data was done and showed reasonable agreement with Toop and Hillert asymmetric models.
Technical Library | 2007-11-29 17:20:31.0
Programs have been developed to predict the expected yield of flip chip assemblies, based on substrate design and the statistics of actual manufactured boards, as well as placement machine accuracy, variations in bump sizes, and possible substrate warpage. These predictions and the trends they reveal can be used to direct changes in design so that defect levels will fall below the acceptable limits. Shapes of joints are calculated analytically, or when this is not possible, numerically by means of a public domain program called Surface Evolver. The method is illustrated with an example involving the substrate for a flip chip BGA.
Technical Library | 2021-12-03 01:22:50.0
CNC machines is the abbreviation of "Computer Numerical Control" machines. It is an automatic machine tool with program control system. The control system can logically process the programs with control codes or other symbolic instructions, decode them and express them with coded numbers. Next, the coded numbers will be input into the numerical control device through the information carrier. After calculation and processing, the numerical control device sends out various control signals to control the action of the machine tool. CNC machine can automatically produce parts or other products according to the shape and size specified by the drawings.
Technical Library | 2023-08-02 18:18:23.0
As six sigma (6) and better processes are demanded for higher yields and as organizations move from measuring defects in terms of parts-per-million (ppm) towards parts-per-billion (ppb), the resolution of extant control charts is becoming insufficient to monitor process quality. This work describes the development of a new statistical process control (SPC) chart that is used to monitor processes in terms of defects-per-billion-opportunities (dpbo). A logical extension of the defects-per-million-opportunities (dpmo) control chart, calculations used to derive the dpbo control limits will be presented and examples of in-control and out-of-control processes will be offered.
Technical Library | 2017-04-28 07:53:37.0
A major drawback to Industry 4.0 that few write about is maintenance of an industry 4.0 plant. The maintenance aspect is a much greater and immediate drawback than even the commonly known major concern of security, and the lesser concern of system integration standards. Maintenance of 4.0 systems has, and will continue to result in related huge increases in process downtime. The barriers to overcoming the maintenance/downtime drawbacks of a 4.0 system are almost insurmountable. Has the Smart Manufacturing Leadership Coalition (SMLC) addressed the maintenance paradox? “... model also demands the ability to calculate and manage risk and uncertainty within very different operating structures. ..” Continue reading in pdf or for even more see and share http://bin95.com/Industry40inUSA.htm
Technical Library | 2018-08-15 17:27:28.0
Smartphones and tablets require very high flexibility and severe bending performance ability of the flexible printed circuits (FPCs) to fit into their thinner and smaller body designs. In these FPCs, the extraordinary highly flexible, treated rolled-annealed (RA) copper foils have recently used instead of regular RA foil and electro deposited foils. It is very important to measure the Young's moduli of these foils predicting the mechanical properties of FPCs such as capabilities of fatigue endurance, folding, and so on. Even though the manufacturers use IPC TM-650 2.4.18.3 test method for measuring Young's modulus of copper foils over many years, where Young's modulus is calculated from the stress–strain (S–S) curve, it is quite difficult to obtain the accurate Young's modulus of metal foils by this test method.
Technical Library | 2021-06-07 19:06:32.0
The technological growth of the last decades has brought many improvements in daily life, but also concerns on how to deal with electronic waste. Electrical and electronic equipment waste is the fastest-growing rate in the industrialized world. One of the elements of electronic equipment is the printed circuit board (PCB) and almost every electronic equipment has a PCB inside it. While waste PCB (WPCB) recycling may result in the recovery of potentially precious materials and the reuse of some components, it is a challenging task because its composition diversity requires a cautious pre-processing stage to achieve optimal recycling outcomes. Our research focused on proposing a method to evaluate the economic feasibility of recycling integrated circuits (ICs) from WPCB. The proposed method can help decide whether to dismantle a separate WPCB before the physical or mechanical recycling process and consists of estimating the IC area from a WPCB, calculating the IC's weight using surface density, and estimating how much metal can be recovered by recycling those ICs. To estimate the IC area in a WPCB, we used a state-of-the-art object detection deep learning model (YOLO) and the PCB DSLR image dataset to detect the WPCB's ICs. Regarding IC detection, the best result was obtained with the partitioned analysis of each image through a sliding window, thus creating new images of smaller dimensions, reaching 86.77% mAP. As a final result, we estimate that the Deep PCB Dataset has a total of 1079.18 g of ICs, from which it would be possible to recover at least 909.94 g of metals and silicon elements from all WPCBs' ICs. Since there is a high variability in the compositions of WPCBs, it is possible to calculate the gross income for each WPCB and use it as a decision criterion for the type of pre-processing.
