Simulation-based Castings to Gain Traction in Die Casting Market | Technavio

Technavio’s latest market research report on the global die casting market provides an analysis of the most important trends expected to impact the market outlook from 2017-2021. Technavio defines an emerging trend as a factor that has the potential to significantly impact the market and contribute to its growth or decline.

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Technavio has published a new report on the global die casting market from 2017-2021. (Graphic: Busi ...

Technavio has published a new report on the global die casting market from 2017-2021. (Graphic: Business Wire)

The increasing demand for lightweight vehicles to reduce CO2 emissions is driving the growth of the global die casting market. The growth of production of lightweight vehicles will create demand for new aluminum die cast components, thereby creating the potential demand for aluminum die cast machinery in the market.

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The top three emerging market trends driving the global die casting market according to Technavio research analysts are:

  • Simulation-based castings
  • Increasing productivity using OEE method
  • X-ray casting defect recognition

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Simulation-based castings

The simulation-based casting process is used to produce high-precision, cost-effective, and reliable components. Some of the benefits of using this process include an increase in casting yield, reduces shop floor time, ensures easier and accurate fault detection, and helps to analyze and optimize the feed ability of the casting process. Various die casting vendors are adopting simulation-based software to cater to the needs of end-user industries such as automotive. The introduction of this process ensures precision in manufacturing activities in the automotive industry.

According to Gaurav Mohindru, a lead analyst at Technavio for tools and components “The adoption of simulation-based casting in the automotive industry ensures that all parameters such as the exact dimensions related to size, shape, and weight are met and guarantees efficient and defect-free manufacturing. These models are designed to reduce wastage and assist in reducing operational costs. The advantages over conventional casting methods will drive the demand for simulation-based casting. As a result, die casting manufacturers need to upgrade their product offerings to sustain the competition in the market.”

Increasing productivity using OEE method

The implementation of overall equipment effectiveness (OEE) will help vendors determine the productivity of the die casting cell in terms of efficiency and uptime. Modern die casting machines are designed with a cell control system that integrates all the activities of the system peripherals. One of the functions of the control system is to monitor and document the die casting process, and the machine includes interfaces that analyze, collect, and safeguard all system information in a central location. Such machines are also equipped with a sophisticated diagnosis system to optimize the entire die casting process.

“System information such as the operating status of the machine, its peripheral equipment, and other necessary emergency maneuvers are logged into the cell control system of the machine. Specialized software packages help in the systematic collection and assessment of such information. Such data can be used to improve the industrial process, boosts productivity, and increase the operation’s profitability,” says Gaurav.

X-ray casting defect recognition

Metalcasting industries have been utilizing the automatic or assisted defect recognition (ADR) in X-ray applications for many years. With the X-ray technology undergoing several technological upgrades in its tubes or the software incorporated with improved algorithms, it is slowly gaining impetus in the production process.

The introduction of digital radiography (DR) technology is promoting the use of software tools across various industries. Digital imaging technology helps process images with the aid of automation in the production processes and decide on the acceptance or rejection of produced parts. The adoption of this technology reduces casting errors and increases productivity and quality of the finished products. The integration of software tools with these systems will help the inspectors to characterize, find, and dispose of anomalies in the die casting process.

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