Batch Size Optimization

Batch size changes both efficiency and quality. Underloading can waste energy because the machine runs a full cycle to dry a small amount of food. Overloading can extend cycle time and cause uneven drying. A good target is trays that are evenly filled without stacking. Thin, uniform layers dry faster. Dense, thick food increases cycle time and can leave wet centers if the run ends too soon. Batch optimization is also about consistency. If you load similar amounts in similar ways, you learn predictable cycle times. That makes planning easier. If you need maximum throughput, run full batches with uniform thickness and good spacing. If you need speed, run lighter batches with thinner slices.

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