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Home > News > Auxiliary

Conair's AI feature for drying system saves up to 40% of energy

Source：Adsale Plastics Network Date ：2024-06-04 Editor ：RC
Copyright： This article was originally written/edited by Adsale Plastics Network (AdsaleCPRJ.com), republishing and excerpting are not allowed without permission. For any copyright infringement, we will pursue legal liability in accordance with the law.

Conair introduces Optimizer, a new optional AI-driven feature for its ResinWorks centralized, multi-hopper drying system. The AI feature automates the challenging process of maintaining process-ready resins at perfect temperatures and varied throughputs, while preventing over-drying and realizing significant energy savings.


Conair_ResinWorks with Optimizer_480.jpg


Conair introduces Optimizer, a new optional AI-driven feature, for its ResinWork system.

 

Common challenge on central drying systems

 

A common challenge on central drying systems are often ‘up-sized’ to meet maximum demand and throughput requirements. However, they run at less-than-maximum levels, resulting in suboptimal airflow, potentially over-dried material, and excess energy usage.

 

Typical ResinWorks systems rely on operators to physically actuate a manual damper to manage and balance airflows into to each active hopper.

 

As such balance is generally based on the use of fully loaded hoppers and a predicted throughput rate for each material, any changes or interruptions in hopper usage, resin mass flow through each hopper, or process resin demand can introduce imbalances that are difficult to manually detect and correct.

 

Managing resin drying airflows and throughputs

 

Optimizer is developed to address the common challenge. It starts with the same conditions as a manual operator – a required resin delivery temperature and predicted throughput of each resin through each hopper.

 

In operation, the Optimizer monitors overall airflow, first ensuring that only active hoppers are served. Then, its AI-driven logic optimizes airflow through each active hopper based on changes in mass flow and temperature.

 

Once material at the bottom of the hopper achieves the proper temperature, the Optimizer logic holds it steady, while incrementally adjusting airflow through the rest of the hopper to match the actual processing rates, incoming material condition, and material drying requirements.

 

Versatile and saves energy

 

With Rigorous testing, the Optimizer has proven to be versatile and highly reliable under changing conditions, which is typical for an active plastics processing plant.

 

A.J. Zambanini, Director of Product Management for Conair, explains that not only can its AI-driven logic efficiently dial back and rebalance airflows for unused hoppers or reduce airflows for less-than-full hoppers, but it also can boost airflows and alert process operators, when process resin rises unexpectedly.

 

In addition, ResinWorks with Optimizer has demonstrated energy savings of 10-40% in virtually every situation. It also does not require complex sensors, such as pitot tubes, orifice plates, velocity probes, that are vulnerable to breakage, inaccurate readings, or constant calibration in industrial environments.


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Source：Adsale Plastics Network Date ：2024-06-04 Editor ：RC
Copyright： This article was originally written/edited by Adsale Plastics Network (AdsaleCPRJ.com), republishing and excerpting are not allowed without permission. For any copyright infringement, we will pursue legal liability in accordance with the law.

Conair introduces Optimizer, a new optional AI-driven feature for its ResinWorks centralized, multi-hopper drying system. The AI feature automates the challenging process of maintaining process-ready resins at perfect temperatures and varied throughputs, while preventing over-drying and realizing significant energy savings.


Conair_ResinWorks with Optimizer_480.jpg


Conair introduces Optimizer, a new optional AI-driven feature, for its ResinWork system.

 

Common challenge on central drying systems

 

A common challenge on central drying systems are often ‘up-sized’ to meet maximum demand and throughput requirements. However, they run at less-than-maximum levels, resulting in suboptimal airflow, potentially over-dried material, and excess energy usage.

 

Typical ResinWorks systems rely on operators to physically actuate a manual damper to manage and balance airflows into to each active hopper.

 

As such balance is generally based on the use of fully loaded hoppers and a predicted throughput rate for each material, any changes or interruptions in hopper usage, resin mass flow through each hopper, or process resin demand can introduce imbalances that are difficult to manually detect and correct.

 

Managing resin drying airflows and throughputs

 

Optimizer is developed to address the common challenge. It starts with the same conditions as a manual operator – a required resin delivery temperature and predicted throughput of each resin through each hopper.

 

In operation, the Optimizer monitors overall airflow, first ensuring that only active hoppers are served. Then, its AI-driven logic optimizes airflow through each active hopper based on changes in mass flow and temperature.

 

Once material at the bottom of the hopper achieves the proper temperature, the Optimizer logic holds it steady, while incrementally adjusting airflow through the rest of the hopper to match the actual processing rates, incoming material condition, and material drying requirements.

 

Versatile and saves energy

 

With Rigorous testing, the Optimizer has proven to be versatile and highly reliable under changing conditions, which is typical for an active plastics processing plant.

 

A.J. Zambanini, Director of Product Management for Conair, explains that not only can its AI-driven logic efficiently dial back and rebalance airflows for unused hoppers or reduce airflows for less-than-full hoppers, but it also can boost airflows and alert process operators, when process resin rises unexpectedly.

 

In addition, ResinWorks with Optimizer has demonstrated energy savings of 10-40% in virtually every situation. It also does not require complex sensors, such as pitot tubes, orifice plates, velocity probes, that are vulnerable to breakage, inaccurate readings, or constant calibration in industrial environments.


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Conair's AI feature for drying system saves up to 40% of energy

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