Regression technique for estimating wood moisture content at time of manufacture

Linear regressions were established between wood moisture content (MC) and dimension for a sample of kiln-dried and freshly surfaced redwood (Sequoia sempervirens) and ponderosa pine (Pinus ponderosa) boards. With knowledge of the dimension at time of machining, these linear regressions allow the estimation of wood MC when machined. By comparing these regression estimates to MCs as determined by ovendrying, it is shown that this technique can accurately estimate MC at time of machining to within 1 percent. This technique is valuable in assessing many moisture related wood performance problems by providing accurate knowledge of the product MC at time of machining. Use of this method requires an independent assumption as to dimensions at the time of machining. The basis for this assumption is often present.

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