The point of my comment about brass inconsistencies relates to being able to get a perfectly consistent anneal from case to case because case weight and brass content varies, even if you are using Lapua. Case in point, here is a photo of a bunch of .260 Lapua brass sorted according to weight. Keep in mind that the weight variance could be MUCH worse if you are using cheaper brass. So a setting for a 171 grain case is going to anneal a 173 grain case differently because the heavier case will have more brass and will need more anneling time to get to the same softness.I recently received mine. I like it a lot. I noticed where someone had said something about brass inconsistencies. They actually recommend sending your brass in to them. They actually said my batch of Black Hills 300 win mag brass was different than what they had tested. If I remember their setting is 65 and for my brass is 62. They always recommend sending your actual brass to double check the setting is correct.
[...] For $1,000 the annealer would need to have a hopper and auto feed the brass before I'd even consider it.
Received Bryan Litz's new book--"Modern Advancements in Long Range Shooting" Vol 2 yesterday and one of the topics he covers is annealing. He has some concern with flame annealing due to the potential inconsistencies from flame temperature and point of "aim" of the flame on the brass. He used an AMP for his tests and thinks this technology is a step in the right direction for annealing. He only tested 223 and 308 rounds and the 308 annealing data was not posted due to an error in the annealing setting on the AMP. But he indicated that the 308 data was quite similar to the 223.
The test was done firing 10 rounds per setting and repeating this 10 times. Groupd A was never annealed, Group B was annealed after the fifth firing and Group C was annealed after every firing.
For the 223 using Lapua brass, the average SD after 10 firings, was Group A, 7.4, Group B, 7.5, and Group C, 6.9.
For the 308 using Lapua brass, the average SD after 10 firings for the never annealed brass was 8.5. As mentioned above he did not post the annealed 308 data due to an error in the setting on the AMP.
He did stress that this testing was minimal for now but does show that "maybe" annealing is not always necessary to get good SDs and therefore good target results.
Lots of good info in his book--as always.
The point of my comment about brass inconsistencies relates to being able to get a perfectly consistent anneal from case to case because case weight and brass content varies, even if you are using Lapua. Case in point, here is a photo of a bunch of .260 Lapua brass sorted according to weight. Keep in mind that the weight variance could be MUCH worse if you are using cheaper brass. So a setting for a 171 grain case is going to anneal a 173 grain case differently because the heavier case will have more brass and will need more anneling time to get to the same softness.
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I'm betting all the observed differences in weight are concentrated in the backend of the case which we deliberately don't anneal. Case necks are turned to a consistent thickness. Shoulder are bumped and case length trimmed. So the area of the case that does get annealed is pretty consistent.
In a related matter, the fiasco with the Norma 6 Dasher case rims is all the proof anyone needs to recognize that weighing cases as a proxy for internal volume is a complete waste of time.
Thanks for posting Brian’s test. A couple of comments.
The thing to keep in mind when looking at those numbers is a lot of work hardening is not related to firing but to how you work your brass when you size the brass/neck. The more you size, the more the work hardening. I am not saying his study is not useful, but without information on how he treated his brass, I would say take it with a big grain of salt when comparing it to your own processing.
- I can certainly agree that flame annealing using the socket and drill approach can be inconsistent due to “potential inconsistencies from flame temperature and point of "aim" of the flame on the brass”, but this cannot be true with a machine like a BenchSource. Hopefully his comment was related to the socket and drill method.
- Just looking at his SD numbers, those are likely SD numbers for a single run and without SD numbers for multiple runs and a standard error number for those multiple runs one cannot determine if they are actually statistically significant which is the ONLY thing that matters in making the comparison i.e. is it noise or is it real? Being as close as those numbers are, I would say not likely.
I probably will, but the point is not everyone here reading the post can or will read the book, thus the comment about what was presented here.probably best you read his book![]()
...As to weighting cases, you are unfortunately 100% wrong there. I have LOTS of experience weighting cases and they do in fact correlate very well if you know what you are doing. Always remember, if someone cannot prove something it could just be because they are doing it wrong.
jlow -
Question for you, from these two scenario's:
1. Say you have 2 cases that weigh a difference of 2-grains from one another, and one of the cases has a rim thickness variation of say 0.002"
2. Same again, but say you mill section into 2 cases and one at the primer web is .006" thicker on one side then the other side, but the other case is more equal from side to side?
Neither of these scenario's would have any baring on the capacity, but definitely would on the case weights. How do you correlate such indifference?
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Opposite of jlow, more times then not I have seen poor correlation from case weights to the actual volumes.
Measurements from internal dissection as well as the external measurements prove repeatedly why gross case weights have variations that can have little to no effect on case volumes.
Sorry for the hi-jack...
Donovan
I know but the comments are not helpful - some large assumptions when making statements like Being as close as those numbers are, I would say not likely.I probably will, but the point is not everyone here reading the post can or will read the book, thus the comment about what was presented here.
What I meant was those numbers being as close as they are, the data would have to be really tight for them to be statistically significant, this is based on my experience dealing with data and what it takes to be significant, having said so, I would agree with you that they are also assumptions and getting the real data would be more useful. I stand corrected.I know but the comments are not helpful - some large assumptions when making statements like Being as close as those numbers are, I would say not likely.
A post asking for more clarification would help those that may not read the book. Otherwise the post comes across as something different altogether.