New Energy Storage Aluminum Die Casting Energy Accessories

Can aluminum die-casting workshops save energy?

The modeling results can be used to analyze the energy efficiency of aluminum die-casting workshops and further to support production scheduling with consideration on energy usage. The study showed that the modeling results can lead to 10 to 15% of energy savings without sacrificing profits.

Why is energy modeling important in aluminum die-casting?

Salonitis et al. ( 2017) stated that there are huge opportunities for the metal casting industry to adopt the best energy practices based on energy modeling. Therefore, energy modeling and efficiency analysis of aluminum die-casting processes are crucial for the energy efficiency of the manufacturing industry.

Is die casting a high-energy consumption process?

For high-energy consumption processes like die casting, modeling their energy consumption is complex, time-consuming, and challenging. Specifically, aluminum casting has experienced continuous growth (Das and Yin 2007; Heinemann 2016) and dominates the nonferrous sector in general, comprising 78% of total nonferrous shipments (Rosen and Lee 2009 ).

Can energy modeling improve the overall die-casting process optimization?

Since scheduling is just one aspect of the overall die-casting process optimization, we will study how to incorporate the proposed energy modeling method to improve the overall die-casting processes, such as job sequencing, choice of die tools, and others.

Why is EMP a leading aluminium die casting manufacturer in China?

EMP, as one of the leading aluminium die casting manufacturers in China, is consistently researching and developing new ways to produce and improve NEV parts to make our technology smarter, more powerful, and our products lighter and more efficient. EMP's focus on building new energy vehicles is to reduce energy and emissions with parts like the Motor Housing.

Does energy consumption affect aluminum die-casting production rate?

Using real data of multiple machines and products at aluminum die-casting workshops through an energy data-acquiring system, this research built the mathematical relationship between specific energy consumption ( SEC ), including both gas and electricity, and production rate for aluminum die-casting processes.