--===============0493757051149547195==
boundary="----=_Part_39635_121342870.1539690942006"
------=_Part_39635_121342870.1539690942006
Content-Transfer-Encoding: quoted-printable
Mark, for some reason, some messages get stripped of LF's and CR's and an =
ascii table such as the one you sent don't display properly. I took the li=
berty of putting the data into a spreadsheet and taking an image attached b=
elow.
Did I get this right? Also note I added a column for per-cylinder displace=
ment which is critical for calculating compression ratio.
=20
=20
Dave Massey
=20
=20
-----Original Message-----
From: Mark J Bradakis <mark@bradakis.com>
To: triumphs <triumphs@autox.team.net>
Sent: Mon, Oct 15, 2018 7:31 pm
Subject: Re: [TR] Compression
On 10/15/18 9:09 AM, Carl Carlson wrote:> Can anyone tell me where the TR25=
0 & early TR6 engine gets it=E2=80=99s high compression as the bore & strok=
e is the same as the latter engine?>Application CR Thickness CC =
depth CC volumeGT6 Mk I 9.50GT6+ 9.25 3.450 0.4=
25 34GT6 Mk III 9.25 3.32 .47 37(early)GT6 Mk I=
II 8.0 3.40 .55 44(late)TR250, TR6 8.5 3.5=
5 .60 48.5TR6 middle 7.75 3.54 .68 55TR6=
late 7.5 3.55 .70 57TR6 race 1 10.25 3.37=
5 .52 41.6TR6 race 2 12.3 3.295 .44 33GT6 =
race 1 10.75 3.31 .385 30GT6 race 2 12.75 3.22 =
.300 24.4** triumphs@autox.team.net **Donate: http://www.team.n=
et/donate.htmlArchive: http://www.team.net/pipermail/triumphs http://www.t=
eam.net/archive=20
------=_Part_39635_121342870.1539690942006
Content-Transfer-Encoding: quoted-printable
<font color=3D'black' size=3D'3' face=3D'Arial, Helvetica, sans-serif'>
<div> <font size=3D"3">Mark, for some reason, some messages get stripped of=
LF's and CR's and an ascii table such as the one you sent don't display pr=
operly. I took the liberty of putting the data into a spreadsheet and=
taking an image attached below.</font></div>
<div><font size=3D"3"><br>
</font></div>
<div><font size=3D"3"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUh=
EUgAAAhgAAADRCAIAAAABnlwSAAAgAElEQVR4nO2dS5rjKgyFa11ZUNaT1WQlPcti3IMkmIckMI=
jYR+gf3O+2K5XSAcQBO0F/m6PBv3//zg5hCPT4A9BCoIOXMSxtHYRO/PtlHIZBzxP0+APQQqCDl=
zEsbR3cSKaDnifo8QeghUAHL2NY2jq4kUwHPU/Q4w9AC4EOXsawtHVwI5kOep6gxx+AFgIdvIxh=
aevgRjId9DxBjz8ALQQ6eBnD0tbBjWQ66HmCHn8AWgh08DKGpa2DG8l00PMEPf4AtBDo4GUMS1s=
HN5LpoOcJevwBaCHQwcsYlrYObiTTQc8T9PgD0EKgg5cxLG0d3Eimg54n6PEHoIVABy9jWNo6uJ=
FMBz1P0OMPQAuBDl7GsLR1cCOZDnqeoMcfgBYCHbyMYWnr4EYyHfQ8QY8/AC0EOngZw9LWwY1kO=
uh5gh5/AFoIdPAyhqWtgxvJdNDzBD3+ALQQ6OBlDEtbB8lI/jmO4zjOAL4j0eEf+IILPf4AtBDo=
4GUMS1sHoRPdSHRAzxP0+APQQqCDlzEsbR3cSKaDnifo8QeghUAHL2NY2jq4kUwHPU/Q4w9AC4E=
OXsawtHVwI5kOep6gxx+AFgIdvIxhaetwdSN53v/+7s+zoxgCPU8a4n89bh291Pdb/UzpiOf97/=
Z4KbxRpTVOGUW/yb7fSMOdSV6Pm84Q6yVqOna4TzSS5/3vb7jv4u5/3v+OJm2WnR3vMI5mnrwet=
78vHyHxpfH2Jojif3dpxv3JT4Jig1/ASIj2FK+XDBhJqv+4kYwHX+M8I8lGdRJFXxZf3Ej47k9G=
WJqBY3qax0ncdJyrzTOS5/3vdr+PThWD3f/ruYpCzUjSBPr26Otx26/OyBZmCsunLrwdCd2e/HW=
Ss4xEJfga5xpJNn0OrgBRjSQdYPG/Xo9bv6Qj4yRpOmbATzOS99/Lm+cdcLDVuE3I68WOJLxZZK=
efa/mVZFHzfsd0MMUvSN73/iQi6UbJSLhEKFJOe8vVbCSV7iM7aN8xf35LaH+yv+Kr5R4taYtUC=
NeeDRPO/gduj8c9zUdyRJVjuxyclYGnEnw5/r9/hm7b6PVpJu/DLFP32Z429h0lrYwtDyVbIKd9=
3TSTELMHfbGlQw9JJnuZmKmYLittRQ71eX8P0bzZ6XHCDY/0Oj3FzDKS71/LBsRbbZzw7wC565y=
RxH76vN8er89/v78e/392ayu2naQTiEhUVjE6RsKuWIrp4KQdCdloYpd9JSWLo5a3iv5+2Sz8yj=
4Rwr2svk2KxSdLZTpCfmyXOxJh4OkEzzcilQuNRvKX5k70j0rLUNI27lX7e+z/R+htmUnIuaIcn=
3KH9klme5npurwdnvm6hXmr6DIxI3DjRHiX2tZ5jpFkLZdKp/yVu85MJfIEH70ZayR5azCRaCzw=
dYyElSwtZ1Q4fGsrajSxy16P29/90fZWXEKV1smbaSKke0MiDWEy5dmxLd3aKgaeTvBZBtBmTGa=
fZCTZejv/U+JkmEuL3qnNSOR1BD2TEC8vf9zWoQcls73MzO15WHHbpdt48s8xA4IdJ/QEKe6KPk=
wxkkRX8Q9qYmcnfNZICinJhFo1krwpwwshjURzA1WgZiR5S7I3BBgjycjvypR3mLI/qDMXc1nFR=
ti4mPmNkYSXRH+OzQVFI2H6rpQWvVPdSLayr5synpgryvHZ1qEHJSsYCdGK7J87aiQhDFpWEfXO=
DCOpJP2UHQmzS7SzI2E7P065Mv0UmLsjeYp7Vm6AEMhjohTSOxk3DuH6LwwYyYiTvP9O/Nd+sSO=
Rghp5RlL8uGEmIecKekdS79CDkjV3JA2hHh8n5fA4zUj2HVcUWzR/J3cwufvI1K3GbCwlNzSzn8=
XDP4olS4xkOJHZfSEjeUeczLjh5s5+dcKmRMdIyi5Ld4EtE5bYFWUy5VcyIUx7stejmKrDtvg71=
IuaHFQ5+O+fvRWPZ4hcYLKvEFSZVWt9VzeSVBU1xtOxJM8k9FxBj0+uQ3sli0bCWIR0W5B5WfRy=
3tDocfLdBpDr71LCF30jaVgvhP1Z1h3ldc5I4m1PtOL4/PtxLzax1E4v2iY253MHit8jSfZ69Py=
l7yRKRlJ2WfxbIY2F9k93unuPftknhPQKL4RqT+l68eP7M5mqqQj5sZ0OzmNG0h/89wXl7q38FS=
Zf7s9DOxK2ZVhpxV0NZnNC9HXzTPJ5X2KuYO8ZKUjmezmdqQixxW9ILdZws1seP9k2qDon/vib7=
dwerH7nApcFvtmOwUlCdMa2mV4oUZVmbibRWMse/otCEzI/dSOZDvoUgB5/wI3kmriRiPzaSbp8=
xI1kPuhTAHr8ATeSa+JGIkM96JpH1UfoWK5+aKMB0KcA9PgD0EKgg5cxLG0dJCPJa+86juM4zhF=
8R6LDP/AFF3r8AWgh0MHLGJa2DkInupHogJ4n6PEHoIVABy9jWNo6uJFMBz1P0OMPQAuBDl7GsL=
R1cCOZDnqeoMcfgBYCHbyMYWnr4EYyHfQ8QY8/AC0EOngZw9LWYQUjOfmj5eh5gh5/AFoIdPAyh=
qWtw0lGkh4ME47fLIhPWCQPD/r8hDrciznfpmDCOYcJo3myNwz5VSCiKbPLg+LM5Dm0EOjgZcxI=
I3Ou/SI0ZxhJfDzv59/ZSXbF4cHsNzu/R5kWB7Te78xx3WQ4lzWS9ExSKlBSXfRrxWHMRzGT59B=
CoIOXsSJtL7yYnC/cehGb3xtJS72HhoOTo1fHh5FS16KplppVr2wkxRnx9FG07GnL3AuOYCXPsY=
VABy9jTxq59m2/iMjPjaQ6bWdN+91yMBvBzyyZn8ecXPrOpMza/MpGkgZHRhrf2iJPlh8dq2byH=
FoIdPAy5qSRE037RUjONBL6RiFRXyOpuUIXL0pqFNwer6KIW14bnIxoCoN5EleKuIl7i9A8ZRO6=
kWzgQqCDl7EjjSo6c+AiMhfYkWRXpEJN5eI63Lf5vi7MmqmR8A+rr24kEdVIPy/wHQkJtBDo4GX=
sSSNWvEcuInKBZySykST/FIykeDJS3No6XI5SCbU8ab8r6M9IKKCFQAcvY1Daeg9JTvjUVl7KUT=
aS+N/EHcVolsw+CUw8bKftH8RI6Ht8++c/io9qRZ8vGJJnJs+hhUAHL2NE2utxS4r2fqecxovgX=
OJ7JJVP+0ofuo6X22mn0GWlCS+6tJHQ36CJlMZfv8n9V7qh146RPAcXAh28jBVpxMdejlzEZoVv=
tp8Mep6gxx+AFgIdvIxhaevgRjId9DxBjz8ALQQ6eBnD0tbBjWQ66HmCHn8AWgh08DKGpa2DG8l=
00PMEPf4AtBDo4GUMS1sHyUjy2ruO4ziOcwTfkejwD3zBhR5/AFoIdPAyhqWtg9CJbiQ6oOcJev=
wBaCHQwcsYlrYObiTTQc8T9PgD0EKgg5cxLG0d3Eimg54n6PEHoIVABy9jWNo6uJFMBz1P0OMPQ=
AuBDl7GsLR1cCOZDnqeoMcfgBYCHbyMYWnrcFUjUSvqfj5DeVIp2J60U3LmWHG1G5U8byxS/Zab=
nE15HSFtGlIJatW5x3tBiCSLuf5rqjXHzRiJ12wnOc9I1Iq6j56grkJ/nlQLtr8eN6Lol7JqjTx=
vK1L9vP/d7vdbYiSXEZKdrcysV3IJatW5h3uBjySPOf0tQnVbUzRjxUi8ZjvNWUaiWNQd20gaCr=
aTr77U/JtTc/3451cS0lTipZSQ/mxgylXshbLuGRczrVq12s1mx0h21itHckEj0Szqjm0kDQXby=
RcrH1KtmufsCvbbVbmRXERIS9FJSkJgdOmu1wtJJGLMtGrd+pubQSPxmu0J5xtJd1H39Ob6yfci=
R/KkuWA7PxEMC9fJc7lIdVro8oJCykGXB8lJUKrOrdALZSQtzV6orjfFQewYiddspzjfSOgrB4q=
6g+9IEioPF+YVpNe/tZVHlFcnm1QQeeaOpC5h0AuVb219l1v1mH1Hchyyr9svInI9I9Es6m7ISP=
iJVNoea9yCVc5zIiTq83hESeVThVQeDEyXoNkLn0gaYvZnJH2s95DkgkbyuTGlUdTdjJHQBds//=
5+OQ6aKez8K8b/IItXsEu372aBLCUk+dNMogRHeg8Jnl6VIikdThdTof8mL/RgxErKF2y+Cc0Uj=
2bb8KwQDRd3Ppz9PIl31gu1BP1fF/ffx75CPzWuz8NWE7CKaJeh9XmC4F+RIOCMhVTMXezFiJMI=
gb7qIzVWNxBDoeYIefwBaCHTwMoalrYMbyXTQ8wQ9/gC0EOjgZQxLWwc3kumg5wl6/AFoIdDByx=
iWtg5uJNNBzxP0+APQQqCDlzEsbR0kI8lr7zqO4zjOEXxHosM/8AUXevwBaCHQwcsYlrYOQie6k=
eiAnifo8QeghUAHL2NY2jq4kUwHPU/Q4w9AC4EOXsawtHVwI5kOep6gxx+AFgIdvIxhaevgRjId=
9DxBjz8ALQQ6eBnD0tbBnpFc4nytGPQ8QY8/AC0EOngZw9LW4SdGkh6cNVCA/fMTseR0xUjiU+a=
4/9dlNE/OLtuukufV49DIF1DS+hkV0nakWzIYiWHeqWO8F4jwW8Krdcz5/XIZ2pvq2qcD9jDfSN=
QKsH9/eMtf8Lz/3e93m0ZygbLtGnleLVJNvYCW1s+YkL6a7cVb9IoY7oV6nXDqutdsb8drttOoG=
IliAfbtOz+mr8mvRXMoNcqxjKQotndC2XbdPK/WX2iq1dfFsKNXi3C8rzOxXqYeyYEW9nokXaxX=
jmS2kWgWYN/CqI0n1OJSPNyJLsIykiuUbVfN8+oKtqHbetFzdH4qvj+5nw4q0OsFuoW57a5XSDy=
O12xPUDYS+rZgNg65Ak7Rq9M10ddAMiN5sMMbzEguULZdJ8+rRaqlF+is2/SM5EjN9v03hrpBoR=
ekFqbDI1XXm+IgdozEa7ZTzNmR9Bdg36Jk/b4ujOLUSISVOJyRRJxTtl3/1lb1Zmf6Aq1l28wdS=
XyHhzCScSdUvrWVtjAXnu9I+mDrnbVdROTnz0j6C7Bv+aovfjJS3NriBjiwkZxUtl05zw8+JFHc=
/M98RiLXP1cYXJq9QDyYFAaWPyM5znoPSaZ/auu9QdiHWn8B9i0ZtdkngYmH7bTZwxoJd9fv9Zh=
ctl0h/letZrvwAr0sG//UVvQhjkLCDjWmT/7IGdfCxD/TC6Rq8mI/RoyEbOH2i+Cc8D2Syqd9pY=
9Y5zcQkufQxMd/iVkUzEii1shLZu9JnXJXLtuukefkw//CDrMXkNIG0PseCSkheR3z3K+f4V7gP=
n9RhpeKIlQzF3sxYiTCIG+6iI29b7ZfDvQ8QY8/AC0EOngZw9LWwY1kOuh5gh5/AFoIdPAyhqWt=
gxvJdNDzBD3+ALQQ6OBlDEtbBzeS6aDnCXr8AWgh0MHLGJa2DpKR5LV3HcdxHOcIviPR4R/4ggs=
9/gC0EOjgZQxLWwehE91IdEDPE/T4A9BCoIOXMSxtHdxIpoOeJ+jxB6CFQAcvY1jaOriRTAc9T9=
DjD0ALgQ5exrC0dXAjmQ56nqDHH4AWAh28jGFp69BqJK+9Wt0QDSU1LnJmgMJpdG/Q8wQ9/gC0E=
OjgZQxLW4dGI1Gb31sqXbF/KT2zK5wnX1Ce30Qc/kgc3fScUvt9NE/igiRky5Cnk0lHlh1jMP7G=
QJK2b/+1I4x2RCUkYnQyF3vQmm3zduYvfpg8ujZDRtLeVBNG98m0GYnePqF+NiL3t56otd/H8iR=
qDr7yXnFeMnmxk9H44zMYhWoqSalzzfgDwx0hh0QOmIvta/N25i/uP5s7ujY7RuI122l2IynUxu=
usbDbPrj7vf7fH4x6uhbdK3zOeI0knqTU4UWJBGN95NRPqWjQFUNnyIyNJJiJK1PyKEVp5zlv7O=
8KsgoBmxYs3Q0LqIV3fSIp2Zi9+8XokXaxXjqTJSKQ6OEn2E0vn96aZKkfCvAs9NFvuiBUFsi5S=
+30wT747MXrIpVdfM2rYKeU5u3b9NvQep278gREhDSHNPTB8vBfKduYuJr/iFRIPQw719ouQtBg=
Jv3n4/JTMqdIusn+n5YHSm1bC+p++vSjUgCBqRpRrq+e82u/jefJ5SkIFUuouUn30xqTaMx5yJb=
D3PWckajdW9YykYcNLLl4G1u4aD3jydqYvZr80eXRtloyEHOrtF5HpM5KMaFjmDxYFI0lWQ9lrp=
BtJ5BXCSJLdd1m6J7nBFv5kaiTCQvKHz0iiXC+CwdmRkDNp3PXoO5IYcgc9dD98rBfIdqYbP/81=
35Ecp30lMbi8uA59RkIppyxCNpLo9mzyhtVHAcQF6tZWvH1njKR4MlLc2uIS5TdGUk9anGckVPj=
RJ9LiZQnkM5KICbfDx5cjRTvfihWhWE/Un5G0s95Dko5nJPXnctEHrEQjCav+4kl+OTTfL6Uetp=
BBZY9psnijP/EJIflwQLrtpxcNP9qR5PZchkTeLCQvdjL6YYEyfH5xRn7CRWvJprU1zHeJn73tP=
sbCiCMvnhF8THU+++no2swYCTnU2y+CM/6pLaLG9u3xuJdjjnqr3B4+L2ESjv6z4UflroO7D5lv=
6vdXkJ/aoiaB3z5szySnMe9KM7uXbs21M35TpeixqpFoxh/Q+x4JJYTqJ/riKcHvHDKS6aNrM2M=
kwlBvuojNr79HklN9+IEPep6gxx+AFgIdvIxhaevw62+2ZyzgI/B5gh5/AFoIdPAyhqWtw6/P2k=
ohfcTIXi+Anifo8QeghUAHL2NY2jr46b/TQc8T9PgD0EKgg5cxLG0dJCPJa+86juM4zhF8R6LDP=
/AFF3r8AWgh0MHLGJa2DkInupHogJ4n6PEHoIVABy9jWNo6uJFMBz1P0OMPQAuBDl7GsLR1cCOZ=
DnqeoMcfgBYCHbyMYWnr4EYyHfQ8QY8/AC0EOngZw9LW4YCRxF8lUfraoMFvjZSg5wl6/AFoIdD=
ByxiWtg7tRpJM+k2FphqchvqeI3VS6fcc3vRK9Lfyq9SR9pt8AFd/AOkb54JG8yQKh6tI0qu0ic=
H4a4GQ8TOixhjtiIYmJYaBUkdozbbv0ZRm8pmjazNnJHkLf1uLbHPlIX4ezUaSbh60jETakwgH+=
mYHsBKnzZF/Pzp7seUs1sYAakdBj+VJ1EB8zYhRpSKj8RMn+saQ8asdHR8z3BGVJuVO+VfpCJ3Z=
9pmVZz9/dG3GjIRo4b/b4ynMEDYOhWo1kkxtUZIgNtZkFUMszPLjgIWzftl5nP69/SVUAhyto9A=
aQOUG3VCeJGGymkeVimjlOWO3IEZSb9JqGZ0hURq98Ar1f4gTrk8aXZspIylaOLpOzxEr1SPZSr=
lJRQJqTZONL379zg9EaR5njvHPCkWkXlb+3UoHNgbweoj14efWbNdRKqKU59za9XfnbI8IqTcpN=
QwUO2K8F76ZVmysTx1dmyEjIVs4/IRsJRvbke3I6b9SWZEPkSkk/kDYUGVrQf0WudGRfiH6NaJ7=
6w/6GwOIZ0jK4Mbz5MnXbM/j7VMqovaMp5YwbJWSCxS2qjcpNQwUO0LjAU+08MkWheeNrs2MkfA=
tzBuJGR/RMBL2aSl174uch9uNJLozS2246Tf6vFpzR8KWsiLedvzWfLTJkkPuVSqieWurkjVkXq=
kl29wdCTUMLrMjidMxDuP80bUZMRKuhbkr/FVMho0ktxTOSNipoMdIyFVV9aG95jOS7EZzck9G0=
UiOJW23UhG1PK/mDfkCvWyb+4yEHAZXeUZCfRAxfwR8zujajBgJ3cJi29rZjmwKz0iy+s2xkTSN=
0b5nJJW1FFMrm641zfbnkQCiv5ALVZu/9iX9/n+HlPYx+mGBMvxa/IqlzmO0tob52CuH/B60Wkf=
ozbbMxvqk0bUZMZKYph2J4j3bK6Dwqa3gxVGp9v12VnLb+Midrco8HkIolwL3Z3KRfsxBOUJfAK=
m48p00HrZnQUeD8IjSPsZvqhTx1eLnRI2h9z0SSsjGDAOljphiJBcYXZtxI8mnp/i6ldta29b9P=
RI1Tt/eKWzNK6DnCXr8AWgh0MHLGJa2Dp3fbNfiCj4ye12Anifo8QeghUAHL2NY2jp0nrWlxKRt=
zrVAzxP0+APQQqCDlzEsbR389N/poOcJevwBaCHQwcsYlrYOkpHktXcdx3Ec5wi+I9HhH/iCCz3=
+ALQQ6OBlDEtbB6ET3Uh0QM8T9PgD0EKgg5cxLG0d3Eimg54n6PEHoIVABy9jWNo6uJFMBz1P0O=
MPQAuBDl7GsLR1cCOZDnqeoMcfgBYCHbyMYWnrYN1IuG+qRNdnfykSPU/Q4w9AC4EOXsawtHWYY=
STUQZjf86fTKzvRz3q+osieXINuJERbprHSLyCP9j8j/i/iaWRbfhQbJXH8m6ujQmoaNnIYRx10=
6mH+bLWHyjipHCCmkDrGjKQcru/WSk/3E5MakJk7EvHQQ75moiroRpJSDfX7As0TxDTi76vc/v2=
FpAh2P2NCstNviXCYKiVc6YNjqBhJ0cLVcUKqrjfFIUwZST5cn16zfa6RRCkmH5TyPpklLrMXlk=
PMCb7x0aSP6L2Z62lHxmu08wvzJRyo53E1I9lhRHABv6/rrDSGt4ZyEQ5qGCcvHDoQ6BwjIVV7P=
RIWbrjyA9hKcauzjCQrTiHUPH/P7FH5B6IMSH6ke3Jbgag/FV9nqx1qdbFWnjRvRzbm8PZOVPOc=
W8HSAX9nqfONpF5fhxnG3yI9oxJUb20Ra6uGPdbnX8eKrTVgxkj44cq2ko3tyPZ7IyGGbTy3ENV=
ekiVPvsKjSw2lhVPINTp5a4so33WdcgtHfCRivH6OTvzxllIkLbBEd0wfekZCjQx+GD/biqLLKM=
625JBgLxaq601xECNGIg1XbgCb8ZGzdiTcLoDpgwNGUlbgKkrVJdeLencpVzGSA7e1ckYHq/6tr=
Uo474Djrr6akTBPQ4hhLBbyPIL6vpC6NZdf9B1JM/JwpVvJym2tbTv31hZxz2ncSEZ3JPrrA52H=
1V3bkW1TGK3Ked5qidRn/05c1FcfDFDDWHHO1ewFMhDyoj8jaUUervXGRefUh+3lTpC4hX7QSOK=
3eO8wyrdOrnPPV9QYz5NiFZ9fyP6tW/NcIc9fPZXb098/+2E7v2whBk/QkD9z6584BnuBbGGm2e=
NAa7t+jcnQhJHENO1Ixu85X4rzjIR5Nix/sKTBSOJ3uz9fUTUu5jr/qS2dqsrDeVJOrYVxZC+Il=
0fDEjTynH/Su09NzQ99e9H7HgklYaOHsVZXjAZPxkEHx4mKwicv9mLaSPKdSnzdym2tbbP/zfYL=
gJ4n6PEHoIVABy9jWNo6uJFMBz1P0OMPQAuBDl7GsLR1cCOZDnqeoMcfgBYCHbyMYWnr4EYyHfQ=
8QY8/AC0EOngZw9LWQTKSvPau4ziO4xzBdyQ6/ANfcKHHH4AWAh28jGFp6yB0ohuJDuh5gh5/AF=
oIdPAyhqWtgxvJdNDzBD3+ALQQ6OBlDEtbBzeS6aDnCXr8AWgh0MHLGJa2Dm4k00HPE/T4A9BCo=
IOXMSxtHeCN5Ponn6HnCXr8AWgh0MHLGJa2Dr83EuWK7lUjmXOk7wGG8qRe3jltN/Hcpz5U8rwW=
DqmCkdbLqBBZA9dTSh0x3AtUY7YUDyfj1xtdmzkj8ZrtGZN3JOKRju2VCo0bSQolltSnWVVbI/6=
+mu3KXTcm5FiTfmWqdYSKkbTUgSmvFfF7zXYer9lecKaRNFd05879LVaDWfm6Hy4E1PKEr45Dpb=
9axQjdPGeWBZc3kkNNStS1avgtkelG4vVIFHi3RmthK/knWFzTSLKiFUJF9/QseaJsFlHRSrnwX=
g2tPBHW8plX6tawU83zQzXbyYv9jAg51KShp65U2KrSmOToIuPXHV2bISP5TjUHjMTGdmS7mpEQ=
I71S0V2oVB7daC9LoO6/Pd1JlPKkPuRC85SFX843ko6a7bWLR9EzErlJyZJt1d+qoDjbHkujIn7=
d0bWZMZJ9omk3EjM+cjEjiW68fpu3UtG9rEGX37YqjCQDw0jaFn6fxrjwjqTFElorih/lNzuSfD=
d8lR1JTN6YXGS+I2kmnmZajcTKba1tu6iRxP+fvEw0ktxSOCP59QpA52F1yzQ64db8dlrN9oO/1=
cBPnpGkPXWhZyQRxL6cCcyfkbTiNduvaCTtFd35StKxkaguoI4ynifFKn6/wJTd1qyqrZDnr56a=
7bqV57fpNdupf+t1xGAvCI0pjC6v2d5F045E5W7tdbiqkbRWdC9ug32WAo97ccOL+tTWL+omD+e=
JWLOdqwm+q7zCpzP5Z+mCCtXK89sParaTfqfUEaPBs40pjq6NiV9vdG3GjcRrtoN8s/36oOcJev=
wBaCHQwcsYlrYObiTTQc8T9PgD0EKgg5cxLG0d3Eimg54n6PEHoIVABy9jWNo6uJFMBz1P0OMPQ=
AuBDl7GsLR1kIwkr73rOI7jOEfwHYkO/8AXXOjxB6CFQAcvY1jaOgid6EaiA3qeoMcfgBYCHbyM=
YWnr4EYyHfQ8QY8/AC0EOngZw9LWwY1kOuh5gh5/AFoIdPAyhqWtgxvJdNDzBD3+ALQQ6OBlDEt=
bBzeS6aDnCXr8AWgh0MHLGJa2DrONRLlC+zzef3TG3+vOEyIk8dix9Ofy4fq/iJ8JjI6AfkE0fM=
a7ZlRIRQPdzlSP9KA129YrihcQ+VjtziMYMxKv2Z6huiMRj2j8fdXClHpd5RG68oQMqVYr+/W4M=
TUmz57CqjXbyRdENZNOP0a+Xqicame6R3rQmW2PVxSnGt5rtvN4zfaC3xlJc4X25/19sG/wcHJl=
RFxsWRfOsrCBPOGO1t/q9rD/6hWMZOdAOZIkcIValkNC6o3f3iM9aPTCO8L2+n0b3exej4TleAt=
bKW51BSPJVs9Chfb3njCaXIgFa7xG+rygbcdzdSM5Vlglq5kxcH9INc+rK9jkBd+6MjpdMyKkof=
Fr7XxqPZJtn/IPT3NZPnqFRI6OFraxHdnONRIi7SoV2vlmDwuj8iVEPTiyT7GMRF6i01r67q6o3=
VSRN4TMC5g4ByAAAAKASURBVD6Xz65HcqTxyXYeHV0aD3iOVhSn8/FQU7RgxEh6WtiMj1xhR3Kg=
QjtVazp7YFWO6+y5PjstYRmJFC2/7O8ZuPq3tqp3gIpKfK/H7dx78QeX4Xk7jz9KGOuF+AbUUSP=
J89F3JBQ9LWzltta2XcJI4v+XluCbVBC7siNpmTyvbiSN96alOatLonKeNz8kudaE1fmA6vurww=
Nr/JMC/Gqq8Xbv9x/+jITAa7afbyTtFdpZI4mKtJfPSBrnoMsbSb1sOLFwH698rpDnr0rNdvoF+=
ULh3Amr0vhMO6tspbZNc7atrpfzEVXko9dsl2nakWiM6AtxDSNprdBO3TH4eD9RpD2vrc3e2eLq=
KuvQ/fFfIiROWln5PLTgcOVzrc8LFUEUFlhEqVu1Xe97JLXGTz8tkPfIKcHvxKlHDrN0iiPzkWi=
Kfkwbidds92+2K4GeJ+jxB6CFQAcvY1jaOriRTAc9T9DjD0ALgQ5exrC0dXAjmQ56nqDHH4AWAh=
28jGFp6+BGMh30PEGPPwAtBDp4GcPS1kEykrz2ruM4juMcwXckOvwDX3Chxx+AFgIdvIxhaesgd=
KIbiQ7oeYIefwBaCHTwMoalrYMbyXTQ8wQ9/gC0EOjgZQxLWwc3kumg5wl6/AFoIdDByxiWtg5u=
JNNBzxP0+APQQqCDlzEsbR3cSKaDnifo8QeghUAHL2NY2jq4kUwHPU/Q4w9AC4EOXsawtHVwI5k=
Oep6gxx+AFgIdvIxhaevgRjId9DxBjz8ALQQ6eBnD0tbBjWQ66HmCHn8AWgh08DKGpa2DG8l00P=
MEPf4AtBDo4GUMS1sHN5LpoOcJevwBaCHQwcsYlrYOQif+B4I5wxTBkZHWAAAAAElFTkSuQmCC"=
alt=3D""><br>
</font></div>
<div><br>
</div>
<div><font size=3D"3">Did I get this right? Also note I added a colum=
n for per-cylinder displacement which is critical for calculating compressi=
on ratio.</font><br>
<font size=3D"3"></font></div>
<div> <br>
</div>
<div> <br>
</div>
<div style=3D"clear:both"><font size=3D"4">Dave Massey</font><br>
<br>
</div>
<div> <br>
</div>
<div> <br>
</div>
<div style=3D"font-family:arial,helvetica;font-size:10pt;color:black">-----=
Original Message-----<br>
From: Mark J Bradakis <mark@bradakis.com><br>
To: triumphs <triumphs@autox.team.net><br>
Sent: Mon, Oct 15, 2018 7:31 pm<br>
Subject: Re: [TR] Compression<br>
<br>
On 10/15/18 9:09 AM, Carl Carlson wrote:
> Can anyone tell me where the TR250 & early TR6 engine gets it=E2=
=80=99s high compression as the bore & stroke is the same as the latter=
engine?
>
Application CR Thickn=
ess CC depth CC volume
GT6 Mk I 9.50
GT6+ 9.25=
3.450 0.425 &nb=
sp; 34
GT6 Mk III 9.25 3.32&=
nbsp; .47 =
37
(early)
GT6 Mk III 8.0 =
3.40 .55 &=
nbsp; 44
(late)
TR250, TR6 8.5 =
3.55 .60 &=
nbsp; 48.5
TR6 middle 7.75 3.54&=
nbsp; .68 =
55
TR6 late 7.5 &nb=
sp; 3.55 .70 &nb=
sp; 57
TR6 race 1 10.25 3.375 =
; .52 41.=
6
TR6 race 2 12.3 3.295=
.44  =
; 33
GT6 race 1 10.75 3.31 =
.385 30
GT6 race 2 12.75 3.22 =
.300 24.=
4
** <a href=3D"mailto:triumphs@autox.team.net";>triumphs@autox.team.net</a> *=
*
//www.team.net/donate.html</a>
Archive: <a href=3D"http://www.team.net/pipermail/triumphs"; target=3D"_blan=
k">http://www.team.net/pipermail/triumphs</a> <a href=3D"http://www.team.n=
et/archive" target=3D"_blank">http://www.team.net/archive</a>
</div>
</font>
------=_Part_39635_121342870.1539690942006--
--===============0493757051149547195==
Content-Transfer-Encoding: 7bit
Content-Disposition: inline
** triumphs@autox.team.net **
Archive: http://www.team.net/pipermail/triumphs http://www.team.net/archive
--===============0493757051149547195==--
|