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After completing this video, you will be able to:
Transcript
00:02
Identify problems to solve the generative design.
00:06
After completing this video, you'll be able to
00:08
identify problem statements and determine applicable design path
00:15
when trying to determine if a project is well suited for generative design.
00:19
There are a handful of things that we can consider
00:22
while there is going to be no universal right or wrong.
00:25
Here,
00:25
there are a couple of key considerations that will push a design
00:29
towards generative or push it towards a more traditional design application.
00:34
So when we're thinking about projects that are well
00:36
suited or a great fit for generative design,
00:39
we're looking at performance based design solutions.
00:42
These are going to be designs that are looking
00:44
at the performance as a main driving factor.
00:48
When we think about considerations such as the motorcycle frame
00:51
that is going to be driven heavily off the performance aspect
00:55
of the loads and constraints that are applied on the design
00:58
from there.
00:58
Designers can take the ideal shape and then add additional features as required.
01:04
The performance based design solutions are often
01:06
looking at things like minimizing mass maximizing
01:09
stiffness or taking a look at the overall deflection or deformation of a design.
01:15
The next consideration that would push a design more towards a
01:18
generative design solution are going to be known operating conditions,
01:22
non operating conditions,
01:24
meaning the loads and constraints that are applied on your design.
01:27
If you have a firm understanding of how your design is affixed to the rest of
01:31
a mechanical assembly and what kinds of loads
01:34
and constraints are placed on the overall assembly,
01:37
then it's a better fit for generative design because again,
01:40
we're looking at performance based solutions
01:43
and a third consideration would be aesthetic requirements.
01:47
Now, if there are no or low aesthetic requirements,
01:50
generative design solutions are often a good fit
01:53
because they are less focused on the overall appearance of the design
01:57
and they're more focused on the optimized mechanical structure.
02:01
There are of course other design considerations,
02:04
but these are three of the main ones that
02:06
can push your design into the generative category.
02:09
When we think about things that are not well suited for generative design,
02:12
we're looking at designs that are not load critical.
02:15
If you're not looking at the performance of a design,
02:18
there's really no reason to optimize it based on those inputs.
02:22
If you have high aesthetic requirements, dealing with consumer products,
02:26
oftentimes have a design language or aesthetic
02:29
that's important to the overall package.
02:32
So when you're thinking about high aesthetic requirements,
02:35
generative design places little to no emphasis on the
02:39
look of the component because it's performance driven.
02:42
When we look at designs that are thin walled parts,
02:44
things like injection molded plastics,
02:46
those are not a good fit for generative design.
02:48
Because as of right now, there is no requirement for draft with thin wall parts.
02:54
While we do have a manufacturing method with casting that can look at draft angles,
02:59
we are not considering a thin wall part overall.
03:02
So designing plastic parts is a better fit for a traditional application.
03:07
And one of the last requirements here is unknown problems.
03:10
If there is not a good understanding around the loads and constraints on a part,
03:15
then you really have no inputs for generative design.
03:18
So when you're looking at parts that really are undefined,
03:22
in terms of their loads and constraints,
03:24
you have no inputs to drive the solution.
03:27
There are of course plenty of other reasons why you might go toward a
03:31
generative design solution or you might go away from a generative design solution.
03:37
When we think about these,
03:38
we have to also consider where the technology sits right now.
03:42
We do have generative designed fluid applications that could potentially start
03:48
to drive us more toward things like thermal heat transfer.
03:51
However, at this current time, we don't have thermal applications.
03:56
We can't deal with cable and harness routing.
03:59
We're not looking at those types of design situations.
04:02
We're focusing on the performance based solutions where we're looking
04:06
at things like minimizing the mass or maximizing the stiffness.
04:09
These all together will help you decide whether or not
04:12
a project is a good fit for generative design.
04:15
So it's always important that you not only use some of these general guides,
04:19
but you look at your own experience in design as well as generative design
04:24
to think about whether a project is a good fit for generative design or not.
Video transcript
00:02
Identify problems to solve the generative design.
00:06
After completing this video, you'll be able to
00:08
identify problem statements and determine applicable design path
00:15
when trying to determine if a project is well suited for generative design.
00:19
There are a handful of things that we can consider
00:22
while there is going to be no universal right or wrong.
00:25
Here,
00:25
there are a couple of key considerations that will push a design
00:29
towards generative or push it towards a more traditional design application.
00:34
So when we're thinking about projects that are well
00:36
suited or a great fit for generative design,
00:39
we're looking at performance based design solutions.
00:42
These are going to be designs that are looking
00:44
at the performance as a main driving factor.
00:48
When we think about considerations such as the motorcycle frame
00:51
that is going to be driven heavily off the performance aspect
00:55
of the loads and constraints that are applied on the design
00:58
from there.
00:58
Designers can take the ideal shape and then add additional features as required.
01:04
The performance based design solutions are often
01:06
looking at things like minimizing mass maximizing
01:09
stiffness or taking a look at the overall deflection or deformation of a design.
01:15
The next consideration that would push a design more towards a
01:18
generative design solution are going to be known operating conditions,
01:22
non operating conditions,
01:24
meaning the loads and constraints that are applied on your design.
01:27
If you have a firm understanding of how your design is affixed to the rest of
01:31
a mechanical assembly and what kinds of loads
01:34
and constraints are placed on the overall assembly,
01:37
then it's a better fit for generative design because again,
01:40
we're looking at performance based solutions
01:43
and a third consideration would be aesthetic requirements.
01:47
Now, if there are no or low aesthetic requirements,
01:50
generative design solutions are often a good fit
01:53
because they are less focused on the overall appearance of the design
01:57
and they're more focused on the optimized mechanical structure.
02:01
There are of course other design considerations,
02:04
but these are three of the main ones that
02:06
can push your design into the generative category.
02:09
When we think about things that are not well suited for generative design,
02:12
we're looking at designs that are not load critical.
02:15
If you're not looking at the performance of a design,
02:18
there's really no reason to optimize it based on those inputs.
02:22
If you have high aesthetic requirements, dealing with consumer products,
02:26
oftentimes have a design language or aesthetic
02:29
that's important to the overall package.
02:32
So when you're thinking about high aesthetic requirements,
02:35
generative design places little to no emphasis on the
02:39
look of the component because it's performance driven.
02:42
When we look at designs that are thin walled parts,
02:44
things like injection molded plastics,
02:46
those are not a good fit for generative design.
02:48
Because as of right now, there is no requirement for draft with thin wall parts.
02:54
While we do have a manufacturing method with casting that can look at draft angles,
02:59
we are not considering a thin wall part overall.
03:02
So designing plastic parts is a better fit for a traditional application.
03:07
And one of the last requirements here is unknown problems.
03:10
If there is not a good understanding around the loads and constraints on a part,
03:15
then you really have no inputs for generative design.
03:18
So when you're looking at parts that really are undefined,
03:22
in terms of their loads and constraints,
03:24
you have no inputs to drive the solution.
03:27
There are of course plenty of other reasons why you might go toward a
03:31
generative design solution or you might go away from a generative design solution.
03:37
When we think about these,
03:38
we have to also consider where the technology sits right now.
03:42
We do have generative designed fluid applications that could potentially start
03:48
to drive us more toward things like thermal heat transfer.
03:51
However, at this current time, we don't have thermal applications.
03:56
We can't deal with cable and harness routing.
03:59
We're not looking at those types of design situations.
04:02
We're focusing on the performance based solutions where we're looking
04:06
at things like minimizing the mass or maximizing the stiffness.
04:09
These all together will help you decide whether or not
04:12
a project is a good fit for generative design.
04:15
So it's always important that you not only use some of these general guides,
04:19
but you look at your own experience in design as well as generative design
04:24
to think about whether a project is a good fit for generative design or not.
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