My preferred type of turning is dry wood. I like hard, dense, fine-grained, and even texture. The harder the wood, the better (usually). I found that Janka hardness is a good measure of this from my reading on The Wood Database. However, there are more species out there than are on the website, and even some that are on the website may be different growing here. I can get old-growth pine, or spruce that is so full of resins that it is denser and harder than any exotic. So, I began to wonder how the Janka hardness would compare to those known values for black cherry, for example. Looking through the wood database, I noticed some species had an icon saying that the Janka hardness was estimated by the specific gravity. I know I can calculate the specific gravity of my own samples, so I can estimate the Janka hardness. I created a function to model the Janka hardness based on the dried weight (in kg/m^3), based on a dataset of about 10 species and their confirmed hardness. The function is linear, which turns out to be different from the function that was linked from the USDA. However, I stuck with mine because it had more accurate results, in my opinion. I used a precise scale to weigh my samples and calipers to calculate the volume of my samples. The samples are all spheres and cubes that I made out of some of the wood I have. This is not super scientific, as the samples are not 100% perfect geometrically, and also may contain knots, cracks, or tiny voids. I avoided large defects, but some of the samples, such as burls and the antler, are not uniform in density throughout. Also, the samples are all relatively small, so the errors are exacerbated. Some interesting observations are that the same species can be radically different between trees. Also, I acknowledge that the hardness is not directly proportional to the density; that is clear, lead is not one of the hardest metals, I know.
I attached a PDF of my data because the post is apparently too long.
I attached a PDF of my data because the post is apparently too long.