Products Description
In the industrial realm, aging machines are indispensable for predicting the lifespan and performance of critical assets. The aging of these assets can lead to significant maintenance costs or production losses. To address this, data - driven models are increasingly being used in aging machines. For instance, in a large - scale chemical plant, researchers have evaluated a range of models. Recurrent neural networks, such as echo state networks and LSTMs, have shown remarkable results. When trained on larger datasets, they can produce near - perfect predictions of industrial aging processes. This allows companies to schedule maintenance events in advance, ensuring cost - efficient and reliable plant operation.
Take, for example, the automotive industry. Components like car batteries are tested in aging machines. These machines subject the batteries to various conditions, such as extreme temperatures and repeated charge - discharge cycles. By doing so, manufacturers can determine how long the batteries will last under real - world usage scenarios. This helps in improving product quality and customer satisfaction.
Another example is in the electronics industry. Aging machines are used to test the durability of printed circuit boards (PCBs). They expose the PCBs to high temperatures, humidity, and electrical stress to identify potential failures early in the production process. This reduces the risk of product recalls and improves the overall reliability of electronic devices.
Accelerated Aging Machines: Simulating Time - Consuming Processes
Accelerated aging machines are a type of aging machine that can significantly speed up the aging process. For materials, they are used to foresee how a substance will react over time. The QUV aging machine, for example, is designed to study the effects of sunlight, dew, and rain on materials. It simulates these environmental factors through alternative UV ray cycles and condensation.
Materials tested in the QUV aging machine may experience alterations such as color change, loss of shine, loss of resistance, cracks, delamination, rust, chips, and breakages. The fluorescent lamps in the machine reproduce short - wave UV radiation, which realistically mimics the physical damage caused by sunlight. Condensation is also simulated, causing water drops on the samples, which helps in understanding the humidity effect. Water spray in the machine creates a thermal shock and accelerated erosion. This is crucial for industries like construction, where materials need to withstand harsh outdoor conditions. For example, building materials such as plastics, paints, and coatings can be tested in these machines to ensure they will last for years when exposed to the elements.
The ultraviolet aging machine is another type of accelerated aging equipment. It uses UV lamps, such as UVA 340 and UVB 313, with an irradiance range of 0.3 - 20 W/㎡. It has a temperature range from ambient to 90 °C ± 2 °C and can control humidity. This machine is widely used in industries such as coating, ink, paint, resin, plastic, printing and packaging, aluminum profiles, adhesives, automobile and motorcycle, cosmetics, metal, electronics, electroplating, and medicine. In the paint industry, for example, it can be used to test the durability of paint under UV exposure, which is important for cars and outdoor furniture.
Our quipment



Equipment parameters
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Material of construction |
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Interior sizes |
1130×500×400mm (WHD) |
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Exterior sizes |
1300×500×1460mm (WHD) |
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Controller |
LCD touch screen panel, programmable of temp., humid., UV(sun), spray(rain) and time |
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Machine compoments material |
inner and outer 304# stainless steel |
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Sample holde |
Aluminum alloy frame base |
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Irradiation lamp |
8 pcs of UVA-340, For each 4pcs on each side |
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Number of specimens |
48 pcs |
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Protection device |
residual-current circuit breaker (RCCB) to control the warning for loop overload, thermal protection and water shortage protection. |
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Technical Parameters |
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Range of temp. |
RT+10℃~70℃ |
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Range of humidity |
≥90%R.H |
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Temp. uniformity |
±1℃ |
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Temp. fluctuation |
±0.5℃ |
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Center distance between lamps |
70mm |
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Center distance between samples and lamps |
50±3mm |
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